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You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
another suntrust e-mail message describes a request by marywood university in scranton , pa. , to sponsor its 2004 student services fair .
</input>
Subject entity: marywood university
Object entity: pa.
Your task is to identify the relation that holds between the subject entity and the o... | {"events": [["marywood university", "org:stateorprovince_of_headquarters", [["pa.", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
as taiwan 's largest telephone and mobile network operator , chunghwa telecom will take the lead in tapping overseas markets , hochen said , adding that the company will first focus on exploring markets that have a large concentration of taiwanese business people .
</input>
Subject entity... | {"events": [["chunghwa telecom", "org:stateorprovince_of_headquarters", [["taiwan", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the international crisis group , a washington-based think tank , held a meeting of experts last week who determined that haiti 's failed judicial system was in part due to many judges and lawyers lacking not only professional background , but often basic office equipment such as paper and ... | {"events": [["international crisis group", "org:stateorprovince_of_headquarters", [["washington-based", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
irvine , calif-based option one mortgage and orange , calif-based ameriquest mortgage co are looking to be bought .
</input>
Subject entity: option one mortgage
Object entity: calif-based
Your task is to identify the relation that holds between the subject entity and the object entity.
... | {"events": [["option one mortgage", "org:stateorprovince_of_headquarters", [["calif-based", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
library industry publication recognizes mckune -lrb- ann arbor new , 1/27/08 -rrb- - added 1/28/08 by leslie chelsea library wins national honor -lrb- ann arbor news , 1/24/08 -rrb- - added 1/24/08 by leslie library journal article best small library in america 2008 : chelsea district libr... | {"events": [["chelsea library", "org:stateorprovince_of_headquarters", [["michigan", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the 2008 workshop will be held from june 9 to july18 at saint anselm college in manchester , new hampshire .
</input>
Subject entity: saint anselm college
Object entity: new hampshire
Your task is to identify the relation that holds between the subject entity and the object entity.
For ... | {"events": [["saint anselm college", "org:stateorprovince_of_headquarters", [["new hampshire", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the department of justice and attorneys general for 13 states filed the suit against brazilian beef producer jbs s.a. and national beef packing co. of kansas city , missouri .
</input>
Subject entity: national beef packing co.
Object entity: missouri
Your task is to identify the relation... | {"events": [["national beef packing co.", "org:stateorprovince_of_headquarters", [["missouri", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
new york 2008-02-28 14:21:31 utc the new york-based company says a wheat trader was able to conduct unauthorized trades on wednesday because of a failure in the entry-order system the broker used to vet trades .
</input>
Subject entity: company
Object entity: new york-based
Your task is ... | {"events": [["company", "org:stateorprovince_of_headquarters", [["new york-based", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
project islamic hope 's website homepage shows ali photographed with california governor arnold schwarzenegger and democratic presidential hopeful barack obama , while noting that neither are members of the organization .
</input>
Subject entity: islamic hope
Object entity: california
Yo... | {"events": [["islamic hope", "org:stateorprovince_of_headquarters", [["california", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the launch of the discovery , the third of a shuttle this year and the 23rd to the iss , is scheduled for tuesday , october 23 at 1538 gmt at kennedy space center in florida , with a 10-minute window for blastoff .
</input>
Subject entity: kennedy space center
Object entity: florida
Your... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the national republican campaign committee in washington did n't immediately respond to a request for a comment .
</input>
Subject entity: national republican campaign committee
Object entity: washington
Your task is to identify the relation that holds between the subject entity and the ... | {"events": [["national republican campaign committee", "org:stateorprovince_of_headquarters", [["washington", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
andrew lebow , an oil trader with mf global in new york , said investors have been discouraged by lower-than-expected oil imports in china and the disappointing growth in the u.s. economy .
</input>
Subject entity: mf global
Object entity: new york
Your task is to identify the relation t... | {"events": [["mf global", "org:stateorprovince_of_headquarters", [["new york", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the other day at the barnes foundation in merion , pa. , visitors could see signs on nearby lawns crying `` the barnes belongs in merion . ''
</input>
Subject entity: barnes foundation
Object entity: merion
Your task is to identify the relation that holds between the subject entity and t... | {"events": [["barnes foundation", "org:stateorprovince_of_headquarters", [["merion", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the shuttle , on its first mission of the year , suffered a four - inch -lrb- 10 centimeter -rrb- tear on its thermal blanket and small pieces of foam broke off from its external fuel tanks after it blasted off from the kennedy space center in florida friday .
</input>
Subject entity: ken... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
a delta 2 rocket carrying the five probes that make up the time history of events and macroscale interactions during substorms -lrb- themis -rrb- mission lifted off at 6:01 p.m. est -lrb- 2301 gmt -rrb- at kennedy space center in florida .
</input>
Subject entity: kennedy space center
Obj... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
`` the government 's marijuana just is n't strong enough , '' said richard doblin , a craker supporter who heads the massachusetts-based multidisciplinary association for psychedelic studies .
</input>
Subject entity: multidisciplinary association for psychedelic studies
Object entity: ma... | {"events": [["multidisciplinary association for psychedelic studies", "org:stateorprovince_of_headquarters", [["massachusetts-based", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
depending on the weather along the route , the shuttle will arrive at the kennedy space center in florida either thursday or friday after spending the night at an intermediate stop .
</input>
Subject entity: kennedy space center
Object entity: florida
Your task is to identify the relatio... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
a call seeking comment from mbia officials at the company 's headquarters in armonk , new york , was not returned immediately thursday .
</input>
Subject entity: mbia
Object entity: new york
Your task is to identify the relation that holds between the subject entity and the object entity... | {"events": [["mbia", "org:stateorprovince_of_headquarters", [["new york", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the california-based multidisciplinary association for psychedelic studies -lrb- maps -rrb- , which republished hofman 's book on lsd , said on its website that he had died from a heart attack .
</input>
Subject entity: multidisciplinary association for psychedelic studies
Object entity: ... | {"events": [["multidisciplinary association for psychedelic studies", "org:stateorprovince_of_headquarters", [["california-based", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the u.s. space shuttle endeavour landed safely at kennedy space center in florida on friday , ending its 16-day mission of constructing the international space station -lrb- iss -rrb- .
</input>
Subject entity: kennedy space center
Object entity: florida
Your task is to identify the rela... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the regulatory agency said in the federal register on monday that it is allowing 30 days for petitioners to seek a hearing or request to become an intervener in the request by utah-based energysolutions inc .
</input>
Subject entity: energysolutions
Object entity: utah-based
Your task is... | {"events": [["energysolutions", "org:stateorprovince_of_headquarters", [["utah-based", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
after debuting friday night at 8 p.m. at harvard , the film will be shown saturday at 2 p.m. at dartmouth college in hanover , n.h. , and later that evening , at 7:30 p.m. , at the university of new hampshire in durham , n.h. on sunday , it will be screened at st. anselm college in new ham... | {"events": [["st. anselm college", "org:stateorprovince_of_headquarters", [["n.h.", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
under fire from critics , president barack obama will outline a `` bold '' new vision of us space exploration when he addresses astronauts , workers and lawmakers at the kennedy space center in florida .
</input>
Subject entity: kennedy space center
Object entity: florida
Your task is to... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
these days , he coaches at tiny northwood university in south florida after stops at nevada-las vegas and cleveland state .
</input>
Subject entity: northwood university
Object entity: florida
Your task is to identify the relation that holds between the subject entity and the object enti... | {"events": [["northwood university", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
sudan and the jem , darfur 's main rebel group , signed a ceasefire agreement and a framework accord on tuesday in the qatari capital with a final peace deal due to be signed by march 15 .
</input>
Subject entity: jem
Object entity: darfur
Your task is to identify the relation that holds... | {"events": [["jem", "org:stateorprovince_of_headquarters", [["darfur", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the scene is recorded in a 1942 painting on the wall of the chamber of the massachusetts house of representatives , with the caption `` the dawn of tolerance in massachusetts . ''
</input>
Subject entity: massachusetts house of representatives
Object entity: massachusetts
Your task is to... | {"events": [["massachusetts house of representatives", "org:stateorprovince_of_headquarters", [["massachusetts", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
`` it represents the greatest advancement of abortion promotion in the history of the nation , '' said carrie gordon earll , spokeswoman for focus on the family action in colorado springs , colo .
</input>
Subject entity: focus on the family
Object entity: colo
Your task is to identify t... | {"events": [["focus on the family", "org:stateorprovince_of_headquarters", [["colo", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
in their travels , the girls in troop 284 never actually left the parking lot of north phoenix baptist church in phoenix .
</input>
Subject entity: phoenix baptist church
Object entity: phoenix
Your task is to identify the relation that holds between the subject entity and the object ent... | {"events": [["phoenix baptist church", "org:stateorprovince_of_headquarters", [["phoenix", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
option one is not a significant kansas city area employer , and most of the previously announced reductions involved california jobs .
</input>
Subject entity: option one
Object entity: california
Your task is to identify the relation that holds between the subject entity and the object ... | {"events": [["option one", "org:stateorprovince_of_headquarters", [["california", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
mlb received its first a-minus for race tuesday from richard lapchick , director of the university of central florida 's institute for diversity and ethics in sports .
</input>
Subject entity: institute for diversity and ethics in sports
Object entity: florida
Your task is to identify th... | {"events": [["institute for diversity and ethics in sports", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
`` they needed to do something so that service members could deploy without worrying , '' said joyce raezer , executive director of the national military family association based in suburban alexandria , va. .
</input>
Subject entity: national military family association
Object entity: va... | {"events": [["national military family association", "org:stateorprovince_of_headquarters", [["va.", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
obama , clinton , edwards and new mexico gov. bill richardson met for their final pre-primary debate late saturday on the campus of saint anselm college .
</input>
Subject entity: saint anselm college
Object entity: new mexico
Your task is to identify the relation that holds between the ... | {"events": [["saint anselm college", "org:stateorprovince_of_headquarters", [["new mexico", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the 10-team golden baseball league is an independent minor league with teams in california , arizona and canada .
</input>
Subject entity: golden baseball league
Object entity: california
Your task is to identify the relation that holds between the subject entity and the object entity.
... | {"events": [["golden baseball league", "org:stateorprovince_of_headquarters", [["california", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
`` they 're coming here with a sense of urgency , '' said chung-wha hong , the new york immigration coalition executive director , of the long island contingent .
</input>
Subject entity: new york immigration coalition
Object entity: long island
Your task is to identify the relation that... | {"events": [["new york immigration coalition", "org:stateorprovince_of_headquarters", [["long island", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
known as a universal donor , ab blood can be given to anyone in an emergency , yet less than 4 percent of people in the u.s. have type ab blood , according to a news release issued by the u.s. army medical command based at fort sam houston , texas .
</input>
Subject entity: u.s. army medi... | {"events": [["u.s. army medical command", "org:stateorprovince_of_headquarters", [["texas", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
taiwan 's chunghwa telecom co plans to spend 129 billion new taiwan dollars -lrb- us$ 397 billion ; euro3 billion -rrb- over the next five years to upgrade its telecommunications networks and build a new undersea cable system , chairman ho chen tan said wednesday .
</input>
Subject entity... | {"events": [["chunghwa telecom co", "org:stateorprovince_of_headquarters", [["taiwan", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the firm , korea 's largest fixed-line operator , set up a consortium in 2006 with verizon business of the us , china telecom , china netcom , china unicom and taiwan 's chunghwa telecom to build the cable linking south korea , china and taiwan with the us .
</input>
Subject entity: chung... | {"events": [["chunghwa telecom", "org:stateorprovince_of_headquarters", [["taiwan", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the washington-based american beverage association , which represents coca-cola , pepsico and dr pepper snapple group , called the tax a `` money grab , pure and simple . ''
</input>
Subject entity: american beverage association
Object entity: washington-based
Your task is to identify th... | {"events": [["american beverage association", "org:stateorprovince_of_headquarters", [["washington-based", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the majority of the layoffs are slated for gmac 's mortgage lending division , residential capital llc , known as rescap , and will reduce work force at the unit by 60 percent , the company said .
</input>
Subject entity: gmac
Object entity: residential capital llc
Your task is to identi... | {"events": [["gmac", "org:stateorprovince_of_headquarters", [["residential capital llc", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
a similar appeal lodged against the federal aviation administration is pending before the u.s. appeals court in washington .
</input>
Subject entity: federal aviation administration
Object entity: washington
Your task is to identify the relation that holds between the subject entity and ... | {"events": [["federal aviation administration", "org:stateorprovince_of_headquarters", [["washington", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the 1,250-member independent steelworkers union said it has been assured mittal `` remains committed '' to keeping a mill in west virginia .
</input>
Subject entity: independent steelworkers union
Object entity: west virginia
Your task is to identify the relation that holds between the s... | {"events": [["independent steelworkers union", "org:stateorprovince_of_headquarters", [["west virginia", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the rev. joel c. hunter , senior pastor of northland church in longwood , fla. , said : `` there is a part of the evangelical family which is what i call christian zionists , who are just so staunchly pro-israel that israel and their side can do no wrong , and it 's almost anti-biblical to... | {"events": [["northland church", "org:stateorprovince_of_headquarters", [["fla.", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
`` so far , so good , '' said allard beutel , a spokesman for the kennedy space center in florida , adding that there was no immediate sign of the cracks or the hydrogen leak that scuppered the november 5 countdown .
</input>
Subject entity: kennedy space center
Object entity: florida
Yo... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
rundell , though , who directs respiratory research and the human physiology laboratory at marywood university in scranton , pa. , did manage to study the effects of one type of pollutant -- fine particles .
</input>
Subject entity: marywood university
Object entity: pa.
Your task is to ... | {"events": [["marywood university", "org:stateorprovince_of_headquarters", [["pa.", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
kennedy center for performing arts , washington :
</input>
Subject entity: kennedy
Object entity: washington
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identify the relation type
- Description: explaining what ... | {"events": [["kennedy", "org:stateorprovince_of_headquarters", [["washington", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
`` you do not want to be caught in that air , '' said dr. kenneth rundell , the director of the human performance laboratory at marywood university in scranton , pa. .
</input>
Subject entity: marywood university
Object entity: pa.
Your task is to identify the relation that holds between... | {"events": [["marywood university", "org:stateorprovince_of_headquarters", [["pa.", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
meanwhile , voicing support for the disgraced former president , the u.s.-based formosan association for public affairs -lrb- fapa -rrb- urged the ruling kuomintang in a statement issued in washington , d.c. to release chen during the appeal period and to protect his right to a fair trial ... | {"events": [["fapa", "org:stateorprovince_of_headquarters", [["d.c.", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
manitowoc had opened the bidding for enodis on april 14 at 260 pence -lrb- us$ 509 ; euro3 27 -rrb- per share , but illinois tool works inc , based in glenview , illinois , offered 282 pence -lrb- us$ 552 ; euro3 55 -rrb- per share may 8 .
</input>
Subject entity: illinois tool works
Obje... | {"events": [["illinois tool works", "org:stateorprovince_of_headquarters", [["illinois", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
hay , a member of paralyzed veterans of america 's new mexico chapter , was one of several paraplegic veterans who got a taste of scuba diving during a training held recently by the cody unser first step foundation .
</input>
Subject entity: paralyzed veterans of america
Object entity: ne... | {"events": [["paralyzed veterans of america", "org:stateorprovince_of_headquarters", [["new mexico", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the new companies will be tyco international , composed of the current engineered products and safety divisions , which will stay in west windsor ; tyco electronics , which will move from harrisburg , pennsylvania , to a philadelphia suburb ; and the health care business , which is to be r... | {"events": [["tyco electronics", "org:stateorprovince_of_headquarters", [["massachusetts", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
joseph kolter - democrat - member of pennsylvania state house of representatives from 1969 to 1982 and u.s. representative from pennsylvania from 1983 to 1993 .
</input>
Subject entity: pennsylvania state house of representatives
Object entity: pennsylvania
Your task is to identify the r... | {"events": [["pennsylvania state house of representatives", "org:stateorprovince_of_headquarters", [["pennsylvania", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
`` our thinking tends to be that if you ca n't raise enough money with friends and family and people who find your business compelling , it may not be a business that should be started , '' said dan rosen , a principal in the lexington , mass. , office of venture capital firm highland capi... | {"events": [["highland capital partners", "org:stateorprovince_of_headquarters", [["mass.", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
members of the independent steelworkers union , which represents about 1,150 workers at mittal steel co 's mill in weirton , west virginia , voted overwhelmingly last month to join the pittsburgh , pennsylvania-based union .
</input>
Subject entity: independent steelworkers union
Object e... | {"events": [["independent steelworkers union", "org:stateorprovince_of_headquarters", [["west virginia", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
but state department spokesman ian kelly told afp that mottaki met with nobody in washington from the state department or the white house 's national security council -lrb- nsc -rrb- .
</input>
Subject entity: national security council
Object entity: washington
Your task is to identify t... | {"events": [["national security council", "org:stateorprovince_of_headquarters", [["washington", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
yangon -- myanmar has introduced a new policy of selling timber by the state-run myanmar timber enterprise -lrb- mte -rrb- to local and foreign timber exporters as part of its bid to reduce the impact on timber export by the current global financial crisis , the local 7-day news reported t... | {"events": [["myanmar timber enterprise", "org:stateorprovince_of_headquarters", [["yangon", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
all nine major professional sports franchises in florida could seek the benefit , from the jacksonville jaguars to the florida marlins and orlando magic .
</input>
Subject entity: jacksonville jaguars
Object entity: florida
Your task is to identify the relation that holds between the sub... | {"events": [["jacksonville jaguars", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
in washington , the federal aviation administration said it was working with airlines to try to reroute some flights around the huge ash cloud , which is hundreds of miles wide .
</input>
Subject entity: federal aviation administration
Object entity: washington
Your task is to identify t... | {"events": [["federal aviation administration", "org:stateorprovince_of_headquarters", [["washington", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
`` there 's a desire to look at how we could make the labor movement more global , '' he said after signing a merger agreement with the independent steelworkers union , which represents about 1,150 workers at mittal steel co 's mill in weirton , west virginia .
</input>
Subject entity: in... | {"events": [["independent steelworkers union", "org:stateorprovince_of_headquarters", [["west virginia", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the manila economic and cultural office , the philippines ' representative office in taiwan in the absence of official diplomatic ties , referred an inquiry by cna to the poea statement .
</input>
Subject entity: manila economic and cultural office
Object entity: taiwan
Your task is to i... | {"events": [["manila economic and cultural office", "org:stateorprovince_of_headquarters", [["taiwan", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the arizona senator was also asked about the confusion over which christian denomination he belongs to .
</input>
Subject entity: christian denomination
Object entity: arizona
Your task is to identify the relation that holds between the subject entity and the object entity.
For each rel... | {"events": [["christian denomination", "org:stateorprovince_of_headquarters", [["arizona", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the study began circulating this summer and was produced by aqr capital management , the investment management firm in greenwich , conn .
</input>
Subject entity: aqr capital management
Object entity: conn
Your task is to identify the relation that holds between the subject entity and th... | {"events": [["aqr capital management", "org:stateorprovince_of_headquarters", [["conn", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
john acerra , 50 , apologized to students , teachers and parents at nitschmann middle school in bethlehem , pennsylvania , where he was arrested in february after he tried to sell meth to an informant .
</input>
Subject entity: nitschmann middle school
Object entity: pennsylvania
Your ta... | {"events": [["nitschmann middle school", "org:stateorprovince_of_headquarters", [["pennsylvania", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
florida -- home base for carnival corp and royal caribbean cruises ltd -- led with nearly 56 percent of all embarkations and the top three cruise ports in 2006 .
</input>
Subject entity: carnival corp
Object entity: florida
Your task is to identify the relation that holds between the sub... | {"events": [["carnival corp", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
nasa was forced to drop friday 's first landing attempt at the kennedy space center , florida , because of thunderstorms and high winds .
</input>
Subject entity: kennedy space center
Object entity: florida
Your task is to identify the relation that holds between the subject entity and t... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
mission control cleared a landing opportunity at nasa 's kennedy space center in florida .
</input>
Subject entity: kennedy space center
Object entity: florida
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identif... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
many pashtun tribesmen in the country 's north-west frontier province appear to have joined forces with afghan taliban fighters in a bloody uprising against both governments .
</input>
Subject entity: afghan taliban
Object entity: north-west frontier province
Your task is to identify the... | {"events": [["afghan taliban", "org:stateorprovince_of_headquarters", [["north-west frontier province", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the department of justice said it would n't challenge that deal , but it did file a lawsuit monday to block jbs from buying the nation 's fourth-largest beef processor , national beef packing co of kansas city , missouri .
</input>
Subject entity: national beef packing co
Object entity: m... | {"events": [["national beef packing co", "org:stateorprovince_of_headquarters", [["missouri", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
allentown , pennsylvania 2007-10-18 19:13:18 utc john acerra , 50 , apologized to students , teachers and parents at nitschmann middle school in bethlehem , pennsylvania , where he was arrested in february after he tried to sell meth to an informant .
</input>
Subject entity: nitschmann m... | {"events": [["nitschmann middle school", "org:stateorprovince_of_headquarters", [["pennsylvania", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
mccain said that he and his family have been members of the north phoenix baptist church in arizona for more than 15 years .
</input>
Subject entity: north phoenix baptist church
Object entity: arizona
Your task is to identify the relation that holds between the subject entity and the ob... | {"events": [["north phoenix baptist church", "org:stateorprovince_of_headquarters", [["arizona", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
cnr , headquartered in montreal , quebec , is the largest railway in canada in terms of both revenue and the physical size of its rail network and is currently canada 's only transcontinental railway company , spanning canada from the atlantic coast in nova scotia to the pacific coast in b... | {"events": [["cnr", "org:stateorprovince_of_headquarters", [["quebec", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
but a spokesperson for the professional rodeo cowboys association , based in colorado springs , colorado , said wednesday she had not heard of a ban anywhere else .
</input>
Subject entity: professional rodeo cowboys association
Object entity: colorado
Your task is to identify the relati... | {"events": [["professional rodeo cowboys association", "org:stateorprovince_of_headquarters", [["colorado", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
but the senator told reporters in south carolina last sunday that he and his family have been members of the north phoenix baptist church in his home state for 15 years .
</input>
Subject entity: north phoenix baptist church
Object entity: south carolina
Your task is to identify the rela... | {"events": [["north phoenix baptist church", "org:stateorprovince_of_headquarters", [["south carolina", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
u.s. space shuttle atlantis lifted off on monday from the kennedy space center in florida on a mission to deliver a stockpile of spare parts for the orbiting international space station -lrb- iss -rrb- .
</input>
Subject entity: kennedy space center
Object entity: florida
Your task is to... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
based in parsippany , nj , jackson hewitt is the nation 's second - largest income tax preparer , after h & amp ; r block , and promotes itself as a low-cost tax return service .
</input>
Subject entity: jackson hewitt
Object entity: nj
Your task is to identify the relation that holds be... | {"events": [["jackson hewitt", "org:stateorprovince_of_headquarters", [["nj", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
washington , nov 30 -lrb- xinhua -rrb- -- nasa has skipped space shuttle endeavour 's second landing opportunity at kennedy space center in florida on sunday afternoon due to bad weather , according to nasa tv .
</input>
Subject entity: kennedy space center
Object entity: florida
Your ta... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the weather around the launch pad 39 a at kennedy space center in florida is fairly favorable for endeavor 's long-waited flight , according to nasa tv .
</input>
Subject entity: kennedy space center
Object entity: florida
Your task is to identify the relation that holds between the subj... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
in march , jbs said it planned to acquire kansas city , mo-based national beef for $ 560 million , which would make it the nation 's largest beef processor .
</input>
Subject entity: national beef
Object entity: mo-based
Your task is to identify the relation that holds between the subjec... | {"events": [["national beef", "org:stateorprovince_of_headquarters", [["mo-based", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the study 's results did not surprise michelle joyner , director of communications for the virginia-based national military family association , a nonprofit advocacy group that focuses on quality of life issues for military families .
</input>
Subject entity: national military family asso... | {"events": [["national military family association", "org:stateorprovince_of_headquarters", [["virginia-based", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
lending to all his voice and his laughter , the rev. daniel gerald dempski was a presence on the campus of saint anselm college in manchester , n.h. , even after a stroke paralyzed the right side of his body seven years ago .
</input>
Subject entity: saint anselm college
Object entity: n.... | {"events": [["saint anselm college", "org:stateorprovince_of_headquarters", [["n.h.", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
when endeavour does head out from nasa 's kennedy space center in florida , it will be the 32nd mission to the iss , orbiting 350 kilometers -lrb- 220 miles -rrb- above earth , and the last of three missions to assemble the japanese kibo laboratory aboard the orbiting space station .
</inp... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
officials in utah immediately notified their counterparts at the kennedy space center in florida , where nasa has had to twice delay the launch of discovery for other reasons .
</input>
Subject entity: kennedy space center
Object entity: florida
Your task is to identify the relation that... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
focus-daly-art -lrb- colorado springs , colo. -rrb- -- jim daly , president and chief executive officer of focus on the family , has achieved more by dint of low expectations than most heads of international multimedia giants .
</input>
Subject entity: focus on the family
Object entity: c... | {"events": [["focus on the family", "org:stateorprovince_of_headquarters", [["colo.", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
and if the golf channel does n't comply , the network can expect to see sharpton and his national action network supporters picketing its orlando , florida , headquarters .
</input>
Subject entity: national action network
Object entity: florida
Your task is to identify the relation that ... | {"events": [["national action network", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
highland capital partners and general catalyst , two massachusetts venture capital firms best known for sophisticated technology investments , were part of the team .
</input>
Subject entity: highland capital partners
Object entity: massachusetts
Your task is to identify the relation tha... | {"events": [["highland capital partners", "org:stateorprovince_of_headquarters", [["massachusetts", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
kennedy space center , fla .
</input>
Subject entity: kennedy space center
Object entity: fla
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identify the relation type
- Description: explaining what this relation t... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["fla", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
some of those train pictures are also due in washington , in the kurland show that the national museum of women in the arts hopes to mount around the time of its 25th birthday , in 2012 .
</input>
Subject entity: national museum of women in the arts
Object entity: washington
Your task is... | {"events": [["national museum of women in the arts", "org:stateorprovince_of_headquarters", [["washington", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
over the years , jarvik has received both federal grant money and private investment capital , notably from leon c. hirsch , the connecticut investor who founded the u.s. surgical corp. .
</input>
Subject entity: u.s. surgical corp.
Object entity: connecticut
Your task is to identify the... | {"events": [["u.s. surgical corp.", "org:stateorprovince_of_headquarters", [["connecticut", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
citizenlink is a registered trademark of focus on the family action , inc `` focus on the family '' is a registered trademark of focus on the family , a california non profit religious corporation , used pursuant to a license agreement .
</input>
Subject entity: focus on the family
Object... | {"events": [["focus on the family", "org:stateorprovince_of_headquarters", [["california", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
jennifer donahue , political director of the new hampshire institute of politics at st anselm college , said she believes the republican party can still come back , at least in independent-minded new hampshire where the state motto is `` live free or die . ''
</input>
Subject entity: new ... | {"events": [["new hampshire institute of politics", "org:stateorprovince_of_headquarters", [["new hampshire", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
discovery launched from kennedy space center in cape canaveral , florida , on tuesday in a mission that includes attaching the italian-made harmony module to the space station .
</input>
Subject entity: kennedy space center
Object entity: florida
Your task is to identify the relation tha... | {"events": [["kennedy space center", "org:stateorprovince_of_headquarters", [["florida", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
that was before the credit crisis set in but just after ownit mortgage solutions of agoura hills , calif. , a subprime lender in which merrill owned 20 percent , declared bankruptcy in an opening act of the fiasco that now threatens the u.s. financial systems .
</input>
Subject entity: ow... | {"events": [["ownit mortgage solutions", "org:stateorprovince_of_headquarters", [["calif.", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
`` it 's an attempt to make it a simple apples-to-apples comparison , '' said rick dungey of the tree group , based in missouri .
</input>
Subject entity: tree group
Object entity: missouri
Your task is to identify the relation that holds between the subject entity and the object entity.... | {"events": [["tree group", "org:stateorprovince_of_headquarters", [["missouri", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the study began circulating this summer and was produced by aqr capital management , the investment management firm in greenwich , conn. .
</input>
Subject entity: aqr capital management
Object entity: conn.
Your task is to identify the relation that holds between the subject entity and ... | {"events": [["aqr capital management", "org:stateorprovince_of_headquarters", [["conn.", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
if he is seth priebatsch and you are highland capital partners , a venture capital firm in lexington , mass. , the answer is a big check .
</input>
Subject entity: highland capital partners
Object entity: mass.
Your task is to identify the relation that holds between the subject entity a... | {"events": [["highland capital partners", "org:stateorprovince_of_headquarters", [["mass.", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
us agency seeks public comment on company ' s plan to import italian nuclear waste the regulatory agency said in the federal register on monday that it is allowing 30 days for petitioners to seek a hearing or request to become an intervener in the request by utah-based energysolutions inc ... | {"events": [["energysolutions", "org:stateorprovince_of_headquarters", [["utah-based", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
`` this is very unsettling news for parents , particularly when coupled with the shortage of the vaccine , '' said irwin redlener , director of the national center for disaster preparedness at columbia university in new york and a professor of clinical public health and pediatrics at the u... | {"events": [["national center for disaster preparedness", "org:stateorprovince_of_headquarters", [["new york", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
jackson hewitt , based in parsippany , nj , is the nation 's second-largest tax preparation chain after h & amp ; r block .
</input>
Subject entity: jackson hewitt
Object entity: nj
Your task is to identify the relation that holds between the subject entity and the object entity.
For ea... | {"events": [["jackson hewitt", "org:stateorprovince_of_headquarters", [["nj", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
------ london 2008-05-20 07:23:45 utc enodis plc endorses sweetened takeover bid by us company manitowoc illinois tool works of glenville , illinois , which had offered 282 pence -lrb- us$ 551 euro3 54 -rrb- per share , said monday that it was considering its position .
</input>
Subject e... | {"events": [["illinois tool works", "org:stateorprovince_of_headquarters", [["illinois", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
that may be how william dallas , chief executive of agoura hills , calif-based ownit mortgage solutions inc , must be feeling right now .
</input>
Subject entity: ownit mortgage solutions
Object entity: calif-based
Your task is to identify the relation that holds between the subject enti... | {"events": [["ownit mortgage solutions", "org:stateorprovince_of_headquarters", [["calif-based", "object"]], "an organization is located in a state or province"]]} |
You are a relation extraction system. Your task is to identify the relation that holds between two given entities in a text.
IMPORTANT:Output ONLY valid JSON. No explanations, no markdown, no extra text.
Output Format (JSON only, no markdown):
{"events": [[<subject span>, <relation type>, [[<object span>, "object"]], ... | Given an input text:
<input>
the other day at the barnes foundation in merion , pa. , visitors could see signs on nearby lawns crying `` the barnes belongs in merion . ''
</input>
Subject entity: barnes foundation
Object entity: pa.
Your task is to identify the relation that holds between the subject entity and the ... | {"events": [["barnes foundation", "org:stateorprovince_of_headquarters", [["pa.", "object"]], "an organization is located in a state or province"]]} |
End of preview. Expand in Data Studio
TACRED — continual learning splits
The TACRED corpus cut into the task streams used by the OpenED continual-learning experiments (CRE / continual relation extraction, 10 tasks per permutation, 5 permutations).
Layout
raw/{train,dev,test}.jsonl the corpus before it is cut into tasks
perm<k>/streams.json the label groups of permutation k, in task order
perm<k>/<task>/{train,dev,test}.jsonl
groups/ the label groups the permutations draw from
train.jsonl of task t holds that task's labels plus a replay buffer of at most 10
examples per earlier label. test.jsonl is cumulative: every label seen up to and
including task t, so a single number measures both what was learned and what was kept.
Record format
One JSON object per line, the prompt format the generative models are trained on:
{"system_prompt": "...", "user_prompt": "Given an input text: ...", "response": "{\"events\": [...]}"}
Licence
LDC2018T24 (TACRED). Redistribution is NOT permitted: keep this repo private/gated.
These files are a re-packaging of the original corpus: the licence of the source data applies unchanged, and this repo grants nothing beyond it.
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