diff --git "a/training/data/eval.jsonl" "b/training/data/eval.jsonl"
deleted file mode 100644--- "a/training/data/eval.jsonl"
+++ /dev/null
@@ -1,83 +0,0 @@
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: save-americas-postal-service\nPublication date: unknown\n\nText:\nThe Postal Services financial losses result from a 2006 law that drains $5 billion a year from post office revenue, while the Postal Service is forced to overpay billions more into federal accounts.", "output": "[{\"subject\": \"The Postal Services\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"$5 billion\", \"object_type\": \"OTHER\", \"time_expression\": \"2006\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2006-05-05\", \"source_sentence\": \"The Postal Services financial losses result from a 2006 law that drains $5 billion a year from post office revenue, while the Postal Service is forced to overpay billions more into federal accounts.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: dan-kaufman\nPublication date: unknown\n\nText:\nA 2013 state law would allow the operator of an iron ore mine in northern Wisconsin to fill in pristine streams and ponds with mine waste.", "output": "[{\"subject\": \"Wisconsin\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"2013\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2013-05-05\", \"source_sentence\": \"A 2013 state law would allow the operator of an iron ore mine in northern Wisconsin to fill in pristine streams and ponds with mine waste.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: dale-kooyenga\nPublication date: unknown\n\nText:\nSince Republicans took over after the 2010 election, the graduation rate in Wisconsin has gone from 86 percent to 88 percent. The black graduation rate has gone from 60 percent to 65 percent. The Latino graduation rate has gone from 65 percent to 71 percent.", "output": "[{\"subject\": \"Republicans\", \"subject_type\": \"NORP\", \"predicate\": \"generic\", \"object\": \"Wisconsin\", \"object_type\": \"GPE\", \"time_expression\": \"2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-05-05\", \"source_sentence\": \"Since Republicans took over after the 2010 election, the graduation rate in Wisconsin has gone from 86 percent to 88 percent.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: barack-obama\nPublication date: unknown\n\nText:\n\"2008 was the deadliest year of the war (in Afghanistan) for American forces.\"", "output": "[{\"subject\": \"Afghanistan\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"American\", \"object_type\": \"NORP\", \"time_expression\": \"2008\", \"time_start\": \"2008-05-05\", \"time_end\": null, \"time_point\": null, \"source_sentence\": \"\\\"2008 was the deadliest year of the war (in Afghanistan) for American forces.\\\"\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: jim-steineke\nPublication date: unknown\n\nText:\nThe streetcar project planned by Mayor Tom Barrett would be a 1900s style trolley.", "output": "[{\"subject\": \"Tom Barrett\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"1900s\", \"time_start\": null, \"time_end\": null, \"time_point\": \"1900-05-05\", \"source_sentence\": \"The streetcar project planned by Mayor Tom Barrett would be a 1900s style trolley.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: michelle-rhee\nPublication date: unknown\n\nText:\nAmericans, in the last 30 years, have more than doubled the amount of money we are spending per child (on education) and the results have gotten worse, not better.", "output": "[{\"subject\": \"Americans\", \"subject_type\": \"NORP\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"the last 30 years\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Americans, in the last 30 years, have more than doubled the amount of money we are spending per child (on education) and the results have gotten worse, not better.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: mary-margaret-oliver\nPublication date: unknown\n\nText:\nLawmakers were paid for their off-season efforts to, for the first time, take the lead in drawing borders for two would-be cities.", "output": "[{\"subject\": \"first\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"two\", \"object_type\": \"OTHER\", \"time_expression\": \"off-season\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Lawmakers were paid for their off-season efforts to, for the first time, take the lead in drawing borders for two would-be cities.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: jon-stewart\nPublication date: unknown\n\nText:\nCongress is bewildered at the scope and reach of our spying apparatus but in 2008 and 2012 explicitly rejected an amendment calling for more disclosure.", "output": "[{\"subject\": \"Congress\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"2008\", \"time_start\": \"2008-05-05\", \"time_end\": \"2012-05-05\", \"time_point\": null, \"source_sentence\": \"Congress is bewildered at the scope and reach of our spying apparatus but in 2008 and 2012 explicitly rejected an amendment calling for more disclosure.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: charlie-crist\nPublication date: unknown\n\nText:\nSix people in Florida die as a result of (not expanding Medicaid) every day.", "output": "[{\"subject\": \"Six\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"Florida\", \"object_type\": \"GPE\", \"time_expression\": \"every day\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Six people in Florida die as a result of (not expanding Medicaid) every day.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: michael-burgess\nPublication date: unknown\n\nText:\nSays stores will be barred from selling 100-watt light bulbs as of 2012.", "output": "[{\"subject\": \"100-watt\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"2012\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2012-05-05\", \"source_sentence\": \"Says stores will be barred from selling 100-watt light bulbs as of 2012.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: joe-scarborough\nPublication date: unknown\n\nText:\nBefore our last three presidents, you have to go back to the 1800s, early 1800s to find three presidents in a row being consecutively re-elected.", "output": "[{\"subject\": \"three\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"three\", \"object_type\": \"OTHER\", \"time_expression\": \"the 1800s\", \"time_start\": \"1800-05-05\", \"time_end\": \"1800-05-05\", \"time_point\": null, \"source_sentence\": \"Before our last three presidents, you have to go back to the 1800s, early 1800s to find three presidents in a row being consecutively re-elected.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: barack-obama\nPublication date: unknown\n\nText:\nToday, for the first time in fifteen years, Master Locks unionized plant in Milwaukee is running at full capacity.", "output": "[{\"subject\": \"first\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"Master Locks\", \"object_type\": \"ORG\", \"time_expression\": \"Today\", \"time_start\": \"2026-05-05\", \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Today, for the first time in fifteen years, Master Locks unionized plant in Milwaukee is running at full capacity.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: tom-price\nPublication date: unknown\n\nText:\nNew federal projections estimate that the health care overhaul will cost $1.76 trillion over 10 years -- well above the $940 billion Democrats originally claimed.", "output": "[{\"subject\": \"$1.76 trillion\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"$940 billion\", \"object_type\": \"OTHER\", \"time_expression\": \"10 years\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2016-05-05\", \"source_sentence\": \"New federal projections estimate that the health care overhaul will cost $1.76 trillion over 10 years -- well above the $940 billion Democrats originally claimed.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: jon-stewart\nPublication date: unknown\n\nText:\nWhen the country was founded, Congress had exactly the same attitude about the sanctity of Christmas celebrations that a 7-Eleven does today: Yeah, were open.", "output": "[{\"subject\": \"Congress\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"a 7-Eleven\", \"object_type\": \"ORG\", \"time_expression\": \"Christmas\", \"time_start\": null, \"time_end\": \"2026-05-05\", \"time_point\": null, \"source_sentence\": \"When the country was founded, Congress had exactly the same attitude about the sanctity of Christmas celebrations that a 7-Eleven does today: Yeah, were open.\", \"confidence\": 0.8}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: carlos-curbelo\nPublication date: unknown\n\nText:\nIn Miami-Dade County, we spend at our school system over $20 million every year educating recent immigrants.", "output": "[{\"subject\": \"Miami-Dade County\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"$20 million\", \"object_type\": \"OTHER\", \"time_expression\": \"every year\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"In Miami-Dade County, we spend at our school system over $20 million every year educating recent immigrants.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: tim-knopp\nPublication date: unknown\n\nText:\nSays today unemployment has been running near 12 percent or more for the last four years and the Legislature hasnt done much to lower it.", "output": "[{\"subject\": \"12 percent\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"Legislature\", \"object_type\": \"ORG\", \"time_expression\": \"today\", \"time_start\": \"2026-05-05\", \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Says today unemployment has been running near 12 percent or more for the last four years and the Legislature hasnt done much to lower it.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: mike-haridopolos\nPublication date: unknown\n\nText:\nThis is the first time a party has picked up multiple seats during a regular election since the mid 1980s, making this the largest majority of any party in more than 25 years.", "output": "[{\"subject\": \"first\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"the mid 1980s\", \"time_start\": \"1985-05-05\", \"time_end\": null, \"time_point\": null, \"source_sentence\": \"This is the first time a party has picked up multiple seats during a regular election since the mid 1980s, making this the largest majority of any party in more than 25 years.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: barack-obama\nPublication date: unknown\n\nText:\n\"John wasn't this raging populist four years ago\" when he ran for president.", "output": "[{\"subject\": \"John\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"four years ago\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2022-05-05\", \"source_sentence\": \"\\\"John wasn't this raging populist four years ago\\\" when he ran for president.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: alex-sink\nPublication date: unknown\n\nText:\nHouse Republicans who complained they didnt have enough time to consider a constitutional ban against oil drilling shoved through a proposal in just a few days to open state waters to oil drilling.", "output": "[{\"subject\": \"House\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"Republicans\", \"object_type\": \"NORP\", \"time_expression\": \"just a few days\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"House Republicans who complained they didnt have enough time to consider a constitutional ban against oil drilling shoved through a proposal in just a few days to open state waters to oil drilling.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: reince-priebus\nPublication date: unknown\n\nText:\nSays no one from the Bush family attended the 2012 Republican National Convention and there was no President Bush at the 2008 convention.", "output": "[{\"subject\": \"Bush\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"the 2012 Republican National Convention\", \"object_type\": \"EVENT\", \"time_expression\": \"2008\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2008-05-05\", \"source_sentence\": \"Says no one from the Bush family attended the 2012 Republican National Convention and there was no President Bush at the 2008 convention.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: joseph-crowley\nPublication date: unknown\n\nText:\nSays Donald Trump cashed in on Sept. 11,collecting $150,000 in federal funds intended to help small businesses recover even though days after the attack Trump said his properties were not affected.", "output": "[{\"subject\": \"Donald Trump\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"150,000\", \"object_type\": \"OTHER\", \"time_expression\": \"Sept. 11,collecting\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Says Donald Trump cashed in on Sept. 11,collecting $150,000 in federal funds intended to help small businesses recover even though days after the attack Trump said his properties were not affected.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: mitt-romney\nPublication date: unknown\n\nText:\nThree years ago, a newly elected President Obama told America that if Congress approved his plan to borrow nearly a trillion dollars, he would hold unemployment below 8 percent.", "output": "[{\"subject\": \"Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"America\", \"object_type\": \"GPE\", \"time_expression\": \"Three years ago\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2023-05-05\", \"source_sentence\": \"Three years ago, a newly elected President Obama told America that if Congress approved his plan to borrow nearly a trillion dollars, he would hold unemployment below 8 percent.\", \"confidence\": 0.8}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: chris-abele\nPublication date: unknown\n\nText:\nThe Mitchell Park Domes lose about $1 million-plus every year and the number of people going to the Domes has been going down.", "output": "[{\"subject\": \"The Mitchell Park Domes\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"about $1 million\", \"object_type\": \"OTHER\", \"time_expression\": \"every year\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"The Mitchell Park Domes lose about $1 million-plus every year and the number of people going to the Domes has been going down.\", \"confidence\": 0.8}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: chris-christie\nPublication date: unknown\n\nText:\nIn the entire public school system in Camden last year, only three students graduated college ready.", "output": "[{\"subject\": \"Camden\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"only three\", \"object_type\": \"OTHER\", \"time_expression\": \"last year\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2025-05-05\", \"source_sentence\": \"In the entire public school system in Camden last year, only three students graduated college ready.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: ellen-rosenblum\nPublication date: unknown\n\nText:\nSays nearly 29,000 Oregonians almost 5 percent of all homeowners are 90 days or more delinquent on their mortgage.", "output": "[{\"subject\": \"nearly 29,000\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"Oregonians\", \"object_type\": \"NORP\", \"time_expression\": \"90 days or more\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Says nearly 29,000 Oregonians almost 5 percent of all homeowners are 90 days or more delinquent on their mortgage.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: virginia-education-association\nPublication date: unknown\n\nText:\nState school funding per pupil is down 16 percent compared to 2009, after adjusting for inflation.", "output": "[{\"subject\": \"16 percent\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"2009\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2009-05-05\", \"source_sentence\": \"State school funding per pupil is down 16 percent compared to 2009, after adjusting for inflation.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: hank-johnson\nPublication date: unknown\n\nText:\nUnemployment has fallen from 10 percent during the presidents first year in office to 8.5 percent today.", "output": "[{\"subject\": \"10 percent\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"8.5 percent\", \"object_type\": \"OTHER\", \"time_expression\": \"first year\", \"time_start\": null, \"time_end\": \"2026-05-05\", \"time_point\": null, \"source_sentence\": \"Unemployment has fallen from 10 percent during the presidents first year in office to 8.5 percent today.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: causa-oregon\nPublication date: unknown\n\nText:\nAmerican voters remain steadfast in their support for immigration reform with a path to citizenship, with more than 70 percent who want to see reform passed this year.", "output": "[{\"subject\": \"American\", \"subject_type\": \"NORP\", \"predicate\": \"generic\", \"object\": \"more than 70 percent\", \"object_type\": \"OTHER\", \"time_expression\": \"this year\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2026-05-05\", \"source_sentence\": \"American voters remain steadfast in their support for immigration reform with a path to citizenship, with more than 70 percent who want to see reform passed this year.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: jimmy-carter\nPublication date: unknown\n\nText:\nAtlanta is the No. 1 trading point for sexual slavery in America. Between 100 and 200 girls are sold into slavery in Atlanta every month.", "output": "[{\"subject\": \"Between 100 and 200\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"Atlanta\", \"object_type\": \"GPE\", \"time_expression\": \"every month\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Between 100 and 200 girls are sold into slavery in Atlanta every month.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: jeff-dickerson\nPublication date: unknown\n\nText:\nAccording to a national survey, transit ridership among people age 16 to 34 increased 40 percent between 2001 and 2009.", "output": "[{\"subject\": \"40 percent\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"age 16 to 34\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"According to a national survey, transit ridership among people age 16 to 34 increased 40 percent between 2001 and 2009.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: oregon-2014\nPublication date: unknown\n\nText:\nIn fiscal year 2011-2012, 4,191 abortions were paid for by taxpayers via the Oregon Health Plan.", "output": "[{\"subject\": \"4,191\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"the Oregon Health Plan\", \"object_type\": \"ORG\", \"time_expression\": \"fiscal year 2011-2012\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"In fiscal year 2011-2012, 4,191 abortions were paid for by taxpayers via the Oregon Health Plan.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: thomas-tobin\nPublication date: unknown\n\nText:\nAny legislative action that is taken now could very well be rendered completely null and void by the decision of the Supreme Court expected this June.", "output": "[{\"subject\": \"the Supreme Court\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"this June\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Any legislative action that is taken now could very well be rendered completely null and void by the decision of the Supreme Court expected this June.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: phil-kerpen\nPublication date: unknown\n\nText:\nAmazing fact: Senate has already voted on more amendments in 2015 than Reid allowed ALL YEAR last year.", "output": "[{\"subject\": \"Senate\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"Reid\", \"object_type\": \"PERSON\", \"time_expression\": \"2015\", \"time_start\": \"2015-05-05\", \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Amazing fact: Senate has already voted on more amendments in 2015 than Reid allowed ALL YEAR last year.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: dinesh-dsouza\nPublication date: unknown\n\nText:\nAphotograph of 21-year-old Hillary Clinton featured a Confederate battle flag in the background.", "output": "[{\"subject\": \"Hillary Clinton\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Confederate\", \"object_type\": \"NORP\", \"time_expression\": \"21-year-old\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Aphotograph of 21-year-old Hillary Clinton featured a Confederate battle flag in the background.\", \"confidence\": 0.8}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: debbie-wasserman-schultz\nPublication date: unknown\n\nText:\nMitt Romney is the first major party candidate for president of the United States in modern times not to release at least 12 years of tax returns.", "output": "[{\"subject\": \"Mitt Romney\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"first\", \"object_type\": \"OTHER\", \"time_expression\": \"at least 12 years\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Mitt Romney is the first major party candidate for president of the United States in modern times not to release at least 12 years of tax returns.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: rob-portman\nPublication date: unknown\n\nText:\nIn the month of July alone, EU exports to South Korea increased by over 36 percent. A lot of that is our market share. Those are our farmers and our service providers who are suffering.", "output": "[{\"subject\": \"EU\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"South Korea\", \"object_type\": \"GPE\", \"time_expression\": \"the month of July\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"In the month of July alone, EU exports to South Korea increased by over 36 percent.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: american-crossroads\nPublication date: unknown\n\nText:\nAs Virginia lost over 65,000 jobs, (Tim) Kaine put partisan ambitions first by serving as DNC chairman during the last year of his governorship.", "output": "[{\"subject\": \"Virginia\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"65,000\", \"object_type\": \"OTHER\", \"time_expression\": \"the last year\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2025-05-05\", \"source_sentence\": \"As Virginia lost over 65,000 jobs, (Tim) Kaine put partisan ambitions first by serving as DNC chairman during the last year of his governorship.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: arsalan-iftikhar\nPublication date: unknown\n\nText:\n59 percent of Americans today believe that Barack Obama is still a Muslim.", "output": "[{\"subject\": \"59 percent\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"Americans\", \"object_type\": \"NORP\", \"time_expression\": \"today\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2026-05-05\", \"source_sentence\": \"59 percent of Americans today believe that Barack Obama is still a Muslim.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: hillary-clinton\nPublication date: unknown\n\nText:\nIn 2006, Bernie Sanders voted in the House with hard-line Republicans for indefinite detention for undocumented immigrants, and then he sided with those Republicans to stand with vigilantes known as Minutemen who were taking up outposts along the border to hunt down immigrants.", "output": "[{\"subject\": \"Bernie Sanders\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"House\", \"object_type\": \"ORG\", \"time_expression\": \"2006\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2006-05-05\", \"source_sentence\": \"In 2006, Bernie Sanders voted in the House with hard-line Republicans for indefinite detention for undocumented immigrants, and then he sided with those Republicans to stand with vigilantes known as Minutemen who were taking up outposts along the border to hunt down immigrants.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: katie-mcginty\nPublication date: unknown\n\nText:\nSays she was the first in her family to go to a four-year college.", "output": "[{\"subject\": \"first\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"four-year\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Says she was the first in her family to go to a four-year college.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: rand-paul\nPublication date: unknown\n\nText:\nThere was a Gallup poll in Egypt last year, and 70 percent of Egyptians dont want our money.", "output": "[{\"subject\": \"Gallup\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"Egypt\", \"object_type\": \"GPE\", \"time_expression\": \"last year\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2025-05-05\", \"source_sentence\": \"There was a Gallup poll in Egypt last year, and 70 percent of Egyptians dont want our money.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: barack-obama\nPublication date: unknown\n\nText:\nLast year, Exxon pocketed nearly $4.7 million every hour.", "output": "[{\"subject\": \"Exxon\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"nearly $4.7 million\", \"object_type\": \"OTHER\", \"time_expression\": \"Last year\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2025-05-05\", \"source_sentence\": \"Last year, Exxon pocketed nearly $4.7 million every hour.\", \"confidence\": 0.8}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: chain-email\nPublication date: unknown\n\nText:\nMedicare monthly premiums will go up to $104.20 in 2012 and $247.00 in 2014 due to provisions incorporated in the Obamacare legislation, purposely delayed so as not to confuse the 2012 re-election campaigns.", "output": "[{\"subject\": \"Medicare\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"104.20\", \"object_type\": \"OTHER\", \"time_expression\": \"monthly\", \"time_start\": null, \"time_end\": \"2012-05-05\", \"time_point\": null, \"source_sentence\": \"Medicare monthly premiums will go up to $104.20 in 2012 and $247.00 in 2014 due to provisions incorporated in the Obamacare legislation, purposely delayed so as not to confuse the 2012 re-election campaigns.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: kevin-dewine\nPublication date: unknown\n\nText:\nSays Republican Sen. John McCain won more votes for president in Cuyahoga County in the 2008 general election than he did in seven states.", "output": "[{\"subject\": \"Republican\", \"subject_type\": \"NORP\", \"predicate\": \"generic\", \"object\": \"John McCain\", \"object_type\": \"PERSON\", \"time_expression\": \"2008\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2008-05-05\", \"source_sentence\": \"Says Republican Sen. John McCain won more votes for president in Cuyahoga County in the 2008 general election than he did in seven states.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: diego-arene-morley\nPublication date: unknown\n\nText:\nThere are more African American men in prison, jail, on probation or parole than were enslaved in 1850.", "output": "[{\"subject\": \"African American\", \"subject_type\": \"NORP\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"1850\", \"time_start\": null, \"time_end\": null, \"time_point\": \"1850-05-05\", \"source_sentence\": \"There are more African American men in prison, jail, on probation or parole than were enslaved in 1850.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: donald-trump\nPublication date: unknown\n\nText:\nIn first week as governor, Tim Kaine proposed a nearly $4 billion tax increase, $4 billion, including a tax increase on people earning as little as $17,000 a year.", "output": "[{\"subject\": \"Tim Kaine\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"nearly $4 billion\", \"object_type\": \"OTHER\", \"time_expression\": \"first week\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"In first week as governor, Tim Kaine proposed a nearly $4 billion tax increase, $4 billion, including a tax increase on people earning as little as $17,000 a year.\", \"confidence\": 0.8}, {\"subject\": \"Tim Kaine\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"$4 billion\", \"object_type\": \"OTHER\", \"time_expression\": \"first week\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"In first week as governor, Tim Kaine proposed a nearly $4 billion tax increase, $4 billion, including a tax increase on people earning as little as $17,000 a year.\", \"confidence\": 0.8}, {\"subject\": \"Tim Kaine\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"as little as $17,000\", \"object_type\": \"OTHER\", \"time_expression\": \"first week\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"In first week as governor, Tim Kaine proposed a nearly $4 billion tax increase, $4 billion, including a tax increase on people earning as little as $17,000 a year.\", \"confidence\": 0.8}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: john-kasich\nPublication date: unknown\n\nText:\nState government spending will be increase 10.7 percent this year.", "output": "[{\"subject\": \"10.7 percent\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"this year\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2026-05-05\", \"source_sentence\": \"State government spending will be increase 10.7 percent this year.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: martin-omalley\nPublication date: unknown\n\nText:\nIn the United States, weve had 12 years in a row of wages declining.", "output": "[{\"subject\": \"the United States\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"12 years in a row\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"In the United States, weve had 12 years in a row of wages declining.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: barack-obama\nPublication date: unknown\n\nText:\n\"In the last few months alone, we have apprehended extremists within our borders who were sent here from the border region of Afghanistan and Pakistan to commit new acts of terror.\"", "output": "[{\"subject\": \"Afghanistan\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"Pakistan\", \"object_type\": \"GPE\", \"time_expression\": \"the last few months alone\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"\\\"In the last few months alone, we have apprehended extremists within our borders who were sent here from the border region of Afghanistan and Pakistan to commit new acts of terror.\\\"\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: rick-santorum\nPublication date: unknown\n\nText:\nSpeaker Gingrich for 20 years supported a federal individual mandate for health insurance.", "output": "[{\"subject\": \"Gingrich\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"20 years\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2006-05-05\", \"source_sentence\": \"Speaker Gingrich for 20 years supported a federal individual mandate for health insurance.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: american-leadhership-pac\nPublication date: unknown\n\nText:\nThere have been at least 100 shootings each year [Angel Taveras] has been mayor of Providence.", "output": "[{\"subject\": \"at least 100\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"Angel Taveras\", \"object_type\": \"PERSON\", \"time_expression\": \"each year\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"There have been at least 100 shootings each year [Angel Taveras] has been mayor of Providence.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: charlie-crist\nPublication date: unknown\n\nText:\n\"I have had the challenge during this administration to suspend no less than 37 public officials in about 36 months.\"", "output": "[{\"subject\": \"37\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"about 36 months\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2023-05-05\", \"source_sentence\": \"\\\"I have had the challenge during this administration to suspend no less than 37 public officials in about 36 months.\\\"\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: jamie-radtke\nPublication date: unknown\n\nText:\nFederal Reserve policies have led to a 69 percent rise in corn prices, 44 percent rise in wheat prices and 15 percent spike in sugar prices over the last year.", "output": "[{\"subject\": \"Federal Reserve\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"69 percent\", \"object_type\": \"OTHER\", \"time_expression\": \"the last year\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2025-05-05\", \"source_sentence\": \"Federal Reserve policies have led to a 69 percent rise in corn prices, 44 percent rise in wheat prices and 15 percent spike in sugar prices over the last year.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: harris-faulkner\nPublication date: unknown\n\nText:\nPresident Obama in November of last year wiped away (a program) that allows for shared fingerprinting for those who are behind bars so you know who is here legally and illegally.", "output": "[{\"subject\": \"Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"November of last year\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"President Obama in November of last year wiped away (a program) that allows for shared fingerprinting for those who are behind bars so you know who is here legally and illegally.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: charles-schumer\nPublication date: unknown\n\nText:\nBecause of the 2011 debt ceiling fight, the stock market lost 2,000 points.", "output": "[{\"subject\": \"2,000\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"2011\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2011-05-05\", \"source_sentence\": \"Because of the 2011 debt ceiling fight, the stock market lost 2,000 points.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: kathleen-falk\nPublication date: unknown\n\nText:\nSince Wisconsin Gov. Scott Walker took office, we are losing jobs at rates not seen in decades.", "output": "[{\"subject\": \"Wisconsin\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"Scott Walker\", \"object_type\": \"PERSON\", \"time_expression\": \"decades\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Since Wisconsin Gov. Scott Walker took office, we are losing jobs at rates not seen in decades.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: steve-lonegan\nPublication date: unknown\n\nText:\nI would be the first Republican senator elected in New Jersey in 41 years.", "output": "[{\"subject\": \"first\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"Republican\", \"object_type\": \"NORP\", \"time_expression\": \"41 years\", \"time_start\": null, \"time_end\": null, \"time_point\": \"1985-05-05\", \"source_sentence\": \"I would be the first Republican senator elected in New Jersey in 41 years.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: barack-obama\nPublication date: unknown\n\nText:\n14,000 Americans . . . lose their health insurance every single day.", "output": "[{\"subject\": \"14,000\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"Americans\", \"object_type\": \"NORP\", \"time_expression\": \"every single day\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"14,000 Americans . . . lose their health insurance every single day.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: sean-duffy\nPublication date: unknown\n\nText:\nWisconsin has only one county, Dane, thats hand counting the votes in the 2016 presidential recount.", "output": "[{\"subject\": \"Wisconsin\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"only one\", \"object_type\": \"OTHER\", \"time_expression\": \"2016\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2016-05-05\", \"source_sentence\": \"Wisconsin has only one county, Dane, thats hand counting the votes in the 2016 presidential recount.\", \"confidence\": 0.8}, {\"subject\": \"Wisconsin\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"Dane\", \"object_type\": \"GPE\", \"time_expression\": \"2016\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2016-05-05\", \"source_sentence\": \"Wisconsin has only one county, Dane, thats hand counting the votes in the 2016 presidential recount.\", \"confidence\": 0.8}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: chris-christie\nPublication date: unknown\n\nText:\nOut of 150,000 tenured teachers in the last 10 years, only 17 have been dismissed for incompetence.", "output": "[{\"subject\": \"150,000\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"only 17\", \"object_type\": \"OTHER\", \"time_expression\": \"the last 10 years\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Out of 150,000 tenured teachers in the last 10 years, only 17 have been dismissed for incompetence.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: mike-rogers\nPublication date: unknown\n\nText:\nIn 1929, the Secretary of State shut down a program that was collecting information to protect America because it was unseemly, but that move led to millions and millions of deaths in World War II.", "output": "[{\"subject\": \"State\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"America\", \"object_type\": \"GPE\", \"time_expression\": \"1929\", \"time_start\": null, \"time_end\": null, \"time_point\": \"1929-05-05\", \"source_sentence\": \"In 1929, the Secretary of State shut down a program that was collecting information to protect America because it was unseemly, but that move led to millions and millions of deaths in World War II.\", \"confidence\": 0.8}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: david-cicilline\nPublication date: unknown\n\nText:\nAnnual precipitation has increased in Rhode Island by over 12 inches in the last century.", "output": "[{\"subject\": \"Rhode Island\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"over 12 inches\", \"object_type\": \"OTHER\", \"time_expression\": \"Annual\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Annual precipitation has increased in Rhode Island by over 12 inches in the last century.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: republican-national-committee-republican\nPublication date: unknown\n\nText:\n\"Hillary's baby bond proposal would give $5,000 to each of the 4-million babies born in the U.S. each year, totaling $20-billion per year, multiplied by four years = $80-billion.\"", "output": "[{\"subject\": \"Hillary\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"5,000\", \"object_type\": \"OTHER\", \"time_expression\": \"each year\", \"time_start\": null, \"time_end\": \"2022-05-05\", \"time_point\": null, \"source_sentence\": \"\\\"Hillary's baby bond proposal would give $5,000 to each of the 4-million babies born in the U.S. each year, totaling $20-billion per year, multiplied by four years = $80-billion.\\\"\", \"confidence\": 0.8}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: barack-obama\nPublication date: unknown\n\nText:\n\"Joe Biden brought Republicans and Democrats together to pass the 1994 crime bill, putting 100,000 cops on the streets and starting an eight-year drop in crime across the country.\"", "output": "[{\"subject\": \"Joe Biden\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Republicans\", \"object_type\": \"NORP\", \"time_expression\": \"1994\", \"time_start\": \"1994-05-05\", \"time_end\": null, \"time_point\": null, \"source_sentence\": \"\\\"Joe Biden brought Republicans and Democrats together to pass the 1994 crime bill, putting 100,000 cops on the streets and starting an eight-year drop in crime across the country.\\\"\", \"confidence\": 0.8}, {\"subject\": \"Joe Biden\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Democrats\", \"object_type\": \"NORP\", \"time_expression\": \"1994\", \"time_start\": \"1994-05-05\", \"time_end\": null, \"time_point\": null, \"source_sentence\": \"\\\"Joe Biden brought Republicans and Democrats together to pass the 1994 crime bill, putting 100,000 cops on the streets and starting an eight-year drop in crime across the country.\\\"\", \"confidence\": 0.8}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: club-growth\nPublication date: unknown\n\nText:\nDemocrats in the Legislature in 2009 voted for various pork projects including a $5 million scoreboard for the Milwaukee Bucks.", "output": "[{\"subject\": \"Democrats\", \"subject_type\": \"NORP\", \"predicate\": \"generic\", \"object\": \"Legislature\", \"object_type\": \"ORG\", \"time_expression\": \"2009\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2009-05-05\", \"source_sentence\": \"Democrats in the Legislature in 2009 voted for various pork projects including a $5 million scoreboard for the Milwaukee Bucks.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: joe-manchin\nPublication date: unknown\n\nText:\nIn 1999, the NRA leadership in Washington, pretty much the same people intact, were for (expanded background checks.)", "output": "[{\"subject\": \"NRA\", \"subject_type\": \"ORG\", \"predicate\": \"generic\", \"object\": \"Washington\", \"object_type\": \"GPE\", \"time_expression\": \"1999\", \"time_start\": null, \"time_end\": null, \"time_point\": \"1999-05-05\", \"source_sentence\": \"In 1999, the NRA leadership in Washington, pretty much the same people intact, were for (expanded background checks.)\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: newt-gingrich\nPublication date: unknown\n\nText:\nNewt Gingrichs presidential campaign has exactly the same challenges as Ronald Reagans successful 1980 bid.", "output": "[{\"subject\": \"Newt Gingrichs\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Ronald Reagans\", \"object_type\": \"PERSON\", \"time_expression\": \"1980\", \"time_start\": null, \"time_end\": null, \"time_point\": \"1980-05-05\", \"source_sentence\": \"Newt Gingrichs presidential campaign has exactly the same challenges as Ronald Reagans successful 1980 bid.\", \"confidence\": 0.8}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: fulton-county-health-and-wellness\nPublication date: unknown\n\nText:\nThe number of people in Atlanta dying from HIV and AIDS declined 59 percent between 2004 and 2012.", "output": "[{\"subject\": \"Atlanta\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"59 percent\", \"object_type\": \"OTHER\", \"time_expression\": \"between 2004 and 2012\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"The number of people in Atlanta dying from HIV and AIDS declined 59 percent between 2004 and 2012.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: brigid-shea\nPublication date: unknown\n\nText:\nSays Lee Leffingwell raised property taxes 20 percent in three years.", "output": "[{\"subject\": \"Lee Leffingwell\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"20 percent\", \"object_type\": \"OTHER\", \"time_expression\": \"three years\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2023-05-05\", \"source_sentence\": \"Says Lee Leffingwell raised property taxes 20 percent in three years.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: chain-email\nPublication date: unknown\n\nText:\nAccuses President Barack Obama of making contradictory claims about efforts to kill Osama bin Laden in 2008 and 2011.", "output": "[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Osama bin Laden\", \"object_type\": \"PERSON\", \"time_expression\": \"2008\", \"time_start\": \"2008-05-05\", \"time_end\": \"2011-05-05\", \"time_point\": null, \"source_sentence\": \"Accuses President Barack Obama of making contradictory claims about efforts to kill Osama bin Laden in 2008 and 2011.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: barack-obama\nPublication date: unknown\n\nText:\n\"8 years of the Clintons, major losses for Democrats across the nation.\"", "output": "[{\"subject\": \"Clintons\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Democrats\", \"object_type\": \"NORP\", \"time_expression\": \"8 years\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2018-05-05\", \"source_sentence\": \"\\\"8 years of the Clintons, major losses for Democrats across the nation.\\\"\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: neera-tanden\nPublication date: unknown\n\nText:\n95 percent of the income gains in the last few years have gone to the top 1 percent.", "output": "[{\"subject\": \"95 percent\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"the last few years\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"95 percent of the income gains in the last few years have gone to the top 1 percent.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: debbie-wasserman-schultz\nPublication date: unknown\n\nText:\n\"On the pace that we're on with job creation in the last four months ...we will have created more jobs in this year than in the entire Bush Presidency.\"", "output": "[{\"subject\": \"Bush\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"the last four months\", \"time_start\": null, \"time_end\": \"2026-05-05\", \"time_point\": null, \"source_sentence\": \"\\\"On the pace that we're on with job creation in the last four months ...we will have created more jobs in this year than in the entire Bush Presidency.\\\"\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: arthur-cyr\nPublication date: unknown\n\nText:\nSays Nikita Khrushchev brought an extra shoe to a United Nations session in 1960, which he banged on the desk in protest.", "output": "[{\"subject\": \"Nikita Khrushchev\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"United Nations\", \"object_type\": \"ORG\", \"time_expression\": \"1960\", \"time_start\": null, \"time_end\": null, \"time_point\": \"1960-05-05\", \"source_sentence\": \"Says Nikita Khrushchev brought an extra shoe to a United Nations session in 1960, which he banged on the desk in protest.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: jason-isaac\nPublication date: unknown\n\nText:\nSays this months special session will cost the state $27,300 a day just for legislators daily living expenses.", "output": "[{\"subject\": \"27,300\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"months\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Says this months special session will cost the state $27,300 a day just for legislators daily living expenses.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: committee-our-childrens-future\nPublication date: unknown\n\nText:\nSays with Gov. Chris Christie and bipartisan reformers New Jersey had the most job growth in 11 years.", "output": "[{\"subject\": \"Chris Christie\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"New Jersey\", \"object_type\": \"GPE\", \"time_expression\": \"11 years\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2015-05-05\", \"source_sentence\": \"Says with Gov. Chris Christie and bipartisan reformers New Jersey had the most job growth in 11 years.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: barack-obama\nPublication date: unknown\n\nText:\nSince the United States began negotiations with Iran, thats probably the first year and a half in which Iran has not advanced its nuclear program in the last decade.", "output": "[{\"subject\": \"the United States\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"Iran\", \"object_type\": \"GPE\", \"time_expression\": \"the first year and a half\", \"time_start\": null, \"time_end\": \"2016-05-05\", \"time_point\": null, \"source_sentence\": \"Since the United States began negotiations with Iran, thats probably the first year and a half in which Iran has not advanced its nuclear program in the last decade.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: rick-perry\nPublication date: unknown\n\nText:\nWeve got a 1,000 National Guard troop request thats been in front of this president for over a year and no response.", "output": "[{\"subject\": \"1,000\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"National Guard\", \"object_type\": \"ORG\", \"time_expression\": \"over a year\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Weve got a 1,000 National Guard troop request thats been in front of this president for over a year and no response.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: chain-email\nPublication date: unknown\n\nText:\nSays Texas voters are being asked to act this November on a proposed constitutional amendment affecting property taxes.", "output": "[{\"subject\": \"Texas\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"this November\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Says Texas voters are being asked to act this November on a proposed constitutional amendment affecting property taxes.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: rush-limbaugh\nPublication date: unknown\n\nText:\nSays 11 straight years of no major hurricanes striking land in the United States bores a hole right through the whole climate change argument.", "output": "[{\"subject\": \"the United States\", \"subject_type\": \"GPE\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"11 straight years\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Says 11 straight years of no major hurricanes striking land in the United States bores a hole right through the whole climate change argument.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: mitt-romney\nPublication date: unknown\n\nText:\nSays he worked with the Democratic legislature to balance spending with revenues so that at the end of my four-year term, the rainy day fund was established at more than $2 billion.", "output": "[{\"subject\": \"Democratic\", \"subject_type\": \"NORP\", \"predicate\": \"generic\", \"object\": \"more than $2 billion\", \"object_type\": \"OTHER\", \"time_expression\": \"four-year\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Says he worked with the Democratic legislature to balance spending with revenues so that at the end of my four-year term, the rainy day fund was established at more than $2 billion.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: americans-united-life\nPublication date: unknown\n\nText:\nIn 2010 alone, 1,270 infants were reported to have died following attempted abortions and notably that is only one year.", "output": "[{\"subject\": \"1,270\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"[context]\", \"object_type\": \"OTHER\", \"time_expression\": \"2010\", \"time_start\": \"2010-05-05\", \"time_end\": null, \"time_point\": null, \"source_sentence\": \"In 2010 alone, 1,270 infants were reported to have died following attempted abortions and notably that is only one year.\", \"confidence\": 0.5}]"}
-{"instruction": "You are a temporal fact extraction system. Given a news article, extract ALL temporal facts.\n\nFor each fact, return a JSON object with:\n- \"subject\": the main entity (person, organization, location)\n- \"subject_type\": one of PERSON, ORG, GPE, EVENT, NORP, PRODUCT, OTHER\n- \"predicate\": the relationship (e.g. \"holds_position\", \"member_of\", \"occurred_on\", \"caused\", \"preceded\", \"followed\", \"generic\")\n- \"object\": the related entity or context\n- \"object_type\": same types as subject_type\n- \"time_expression\": the temporal expression exactly as it appears in the text\n- \"time_start\": start date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_end\": end date if it's a range (ISO format YYYY-MM-DD or null)\n- \"time_point\": specific date if it's a single point (ISO format or null)\n- \"source_sentence\": the original sentence from the article that contains this fact\n- \"confidence\": your confidence 0.0–1.0\n\nExamples:\n\nInput: \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\"\nOutput:\n[{\"subject\": \"Barack Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"holds_position\", \"object\": \"44th President of the United States\", \"object_type\": \"ORG\", \"time_expression\": \"from January 2009 to January 2017\", \"time_start\": \"2009-01-20\", \"time_end\": \"2017-01-20\", \"time_point\": null, \"source_sentence\": \"Barack Obama served as the 44th President of the United States from January 2009 to January 2017.\", \"confidence\": 0.95}]\n\nInput: \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\"\nOutput:\n[{\"subject\": \"Affordable Care Act\", \"subject_type\": \"EVENT\", \"predicate\": \"occurred_on\", \"object\": \"signed into law\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.92},\n{\"subject\": \"President Obama\", \"subject_type\": \"PERSON\", \"predicate\": \"generic\", \"object\": \"Affordable Care Act\", \"object_type\": \"EVENT\", \"time_expression\": \"March 23, 2010\", \"time_start\": null, \"time_end\": null, \"time_point\": \"2010-03-23\", \"source_sentence\": \"The Affordable Care Act was signed into law on March 23, 2010 by President Obama.\", \"confidence\": 0.88}]\n\nReturn ONLY a JSON array. No explanations, no markdown fences.", "input": "Extract all temporal facts from this article:\n\nTitle: rod-monroe\nPublication date: unknown\n\nText:\nSays the No. 2 cause of death in the U.S. (for) women under 50 is being killed by their spouse or domestic partner.", "output": "[{\"subject\": \"2\", \"subject_type\": \"OTHER\", \"predicate\": \"generic\", \"object\": \"U.S.\", \"object_type\": \"GPE\", \"time_expression\": \"under 50\", \"time_start\": null, \"time_end\": null, \"time_point\": null, \"source_sentence\": \"Says the No. 2 cause of death in the U.S. (for) women under 50 is being killed by their spouse or domestic partner.\", \"confidence\": 0.5}]"}