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value | user_prompt stringlengths 498 793 | response stringlengths 78 346 |
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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>
Amityville is the westernmost station on the Babylon Branch of the Long Island Rail Road in Suffolk County , New York .
</input>
Subject entity: Babylon Branch
Object entity: Long Island Rail Road
Your task is to identify the relation that holds between the subject entity and the object ... | {"events": [["Babylon Branch", "owned by", [["Long Island Rail Road", "object"]], "owner of the subject"]]} |
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 2017 Amazon purchased Whole Foods and began selling 365 ( whole foods store brand products ) through Amazon fresh .
</input>
Subject entity: Whole Foods
Object entity: Amazon
Your task is to identify the relation that holds between the subject entity and the object entity.
For each r... | {"events": [["Whole Foods", "owned by", [["Amazon", "object"]], "owner of the subject"]]} |
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 member of the senior Spanish national team , Royal Spanish Football Federation she scored against England and Northern Ireland at the UEFA Women 's Euro 2009 qualifying .
</input>
Subject entity: Spanish national team
Object entity: Royal Spanish Football Federation
Your task is to ide... | {"events": [["Spanish national team", "owned by", [["Royal Spanish Football Federation", "object"]], "owner of the subject"]]} |
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>
Cannes hosts the Cannes Mandelieu Space Center , headquarters of Thales Alenia Space , the first European satellite manufacturer .
</input>
Subject entity: Cannes Mandelieu Space Center
Object entity: Thales Alenia Space
Your task is to identify the relation that holds between the subjec... | {"events": [["Cannes Mandelieu Space Center", "owned by", [["Thales Alenia Space", "object"]], "owner of the subject"]]} |
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 August 2014 , SmartThings announced that they had reached an agreement to be acquired by Samsung and would operate as an independent company within Samsung 's Open Innovation Center .
</input>
Subject entity: SmartThings
Object entity: Samsung
Your task is to identify the relation tha... | {"events": [["SmartThings", "owned by", [["Samsung", "object"]], "owner of the subject"]]} |
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 Keihan Electric Railway was at that time constructing the Ōtō Line to the Eiden terminal at Demachiyanagi .
</input>
Subject entity: Ōtō Line
Object entity: Keihan Electric Railway
Your task is to identify the relation that holds between the subject entity and the object entity.
For... | {"events": [["\u014ct\u014d Line", "owned by", [["Keihan Electric Railway", "object"]], "owner of the subject"]]} |
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>
" La Meuse " has its headquarters in Liège and is owned by the Rossel group which also owns " Le Soir " and " La Lanterne " , among the others .
</input>
Subject entity: Le Soir
Object entity: Rossel group
Your task is to identify the relation that holds between the subject entity and th... | {"events": [["Le Soir", "owned by", [["Rossel group", "object"]], "owner of the subject"]]} |
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 2005 , Britvic commissioned Furr to create a painting marking 70 years of Robinsons ( drink ) the Wimbledon Championships on Centre Court .
</input>
Subject entity: Robinsons ( drink )
Object entity: Britvic
Your task is to identify the relation that holds between the subject entity a... | {"events": [["Robinsons ( drink )", "owned by", [["Britvic", "object"]], "owner of the subject"]]} |
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 school is located in the city of Mannheim , Baden - Württemberg in Germany at Mannheim Palace , one of the largest baroque castles in Europe .
</input>
Subject entity: Mannheim Palace
Object entity: Baden - Württemberg
Your task is to identify the relation that holds between the subj... | {"events": [["Mannheim Palace", "owned by", [["Baden - W\u00fcrttemberg", "object"]], "owner of the subject"]]} |
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>
One development occurred in mid 2013 , when billionaire Jeff Bezos , founder of Amazon.com , paid US$ 250 million for " The Washington Post " and several smaller newspapers .
</input>
Subject entity: The Washington Post
Object entity: Jeff Bezos
Your task is to identify the relation that... | {"events": [["The Washington Post", "owned by", [["Jeff Bezos", "object"]], "owner of the subject"]]} |
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 February 2018 , TUI Cruises ordered a new ship , Mein Schiff 7 , that will join the company 's fleet in 2023 .
</input>
Subject entity: Mein Schiff
Object entity: TUI Cruises
Your task is to identify the relation that holds between the subject entity and the object entity.
For each r... | {"events": [["Mein Schiff", "owned by", [["TUI Cruises", "object"]], "owner of the subject"]]} |
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 station forms part of Transport for New South Wales ' Sydney Metro City & Southwest scheme .
</input>
Subject entity: Sydney Metro City & Southwest
Object entity: Transport for New South Wales
Your task is to identify the relation that holds between the subject entity and the object ... | {"events": [["Sydney Metro City & Southwest", "owned by", [["Transport for New South Wales", "object"]], "owner of the subject"]]} |
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 October of the same year , the Delhi High Court ordered it to stop publishing articles from " Mint " after " Mint " owner HT Media filed a copyright infringement suit .
</input>
Subject entity: Mint
Object entity: HT Media
Your task is to identify the relation that holds between the s... | {"events": [["Mint", "owned by", [["HT Media", "object"]], "owner of the subject"]]} |
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 first ever watch to be sent into space was a Russian " Pobeda " watch from the Petrodvorets Watch Factory .
</input>
Subject entity: Pobeda
Object entity: Petrodvorets Watch Factory
Your task is to identify the relation that holds between the subject entity and the object entity.
Fo... | {"events": [["Pobeda", "owned by", [["Petrodvorets Watch Factory", "object"]], "owner of the subject"]]} |
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>
Vivendi went on to acquire stakes in or merge with Maroc Telecom , Havas , Cendant Software , Grupo Anaya , and NetHold , a large Continental European pay - TV operator .
</input>
Subject entity: Havas
Object entity: Vivendi
Your task is to identify the relation that holds between the su... | {"events": [["Havas", "owned by", [["Vivendi", "object"]], "owner of the subject"]]} |
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 2009 , Groupe PSA created a new brand - DS Automobiles , intended as high quality , high specification variations on existing models , with differing mechanics and bodywork .
</input>
Subject entity: DS Automobiles
Object entity: Groupe PSA
Your task is to identify the relation that h... | {"events": [["DS Automobiles", "owned by", [["Groupe PSA", "object"]], "owner of the subject"]]} |
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>
By 1967 , with the manor house gone and the garden derelict , the National Trust — who had never been responsible for a garden restoration before — accepted the care of Westbury Court Garden .
</input>
Subject entity: Westbury Court Garden
Object entity: National Trust
Your task is to id... | {"events": [["Westbury Court Garden", "owned by", [["National Trust", "object"]], "owner of the subject"]]} |
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>
Savant Lake railway station is on the line and is served by Via Rail transcontinental " Canadian " trains .
</input>
Subject entity: Savant Lake railway station
Object entity: Via Rail
Your task is to identify the relation that holds between the subject entity and the object entity.
For... | {"events": [["Savant Lake railway station", "owned by", [["Via Rail", "object"]], "owner of the subject"]]} |
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>
Rostokino ( ) is a station on the Moscow Central Circle of the Moscow Metro that opened in September 2016 .
</input>
Subject entity: Moscow Central Circle
Object entity: Moscow Metro
Your task is to identify the relation that holds between the subject entity and the object entity.
For e... | {"events": [["Moscow Central Circle", "owned by", [["Moscow Metro", "object"]], "owner of the subject"]]} |
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>
Currently , CBS Corporation owns the rights to the film via its Simon & Schuster subsidiary , who owns the rights to the Raggedy Ann and Andy characters .
</input>
Subject entity: Simon & Schuster
Object entity: CBS Corporation
Your task is to identify the relation that holds between the... | {"events": [["Simon & Schuster", "owned by", [["CBS Corporation", "object"]], "owner of the subject"]]} |
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 is the junction point of the Korean State Railway 's P'yŏngra and Ŭnsan lines .
</input>
Subject entity: Ŭnsan
Object entity: Korean State Railway
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identify the rela... | {"events": [["\u016cnsan", "owned by", [["Korean State Railway", "object"]], "owner of the subject"]]} |
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>
" Fiction Factory " ( in Spanish : Factoría de Ficción ) styled as FDF , is a private Spanish television network owned by Mediaset España Comunicación .
</input>
Subject entity: Factoría de Ficción
Object entity: Mediaset España Comunicación
Your task is to identify the relation that hol... | {"events": [["Factor\u00eda de Ficci\u00f3n", "owned by", [["Mediaset Espa\u00f1a Comunicaci\u00f3n", "object"]], "owner of the subject"]]} |
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 WSU – Idaho game in 1970 was dubbed the Displaced Bowl , which was held in Joe Albi Stadium in Spokane on September 19 .
</input>
Subject entity: Joe Albi Stadium
Object entity: Spokane
Your task is to identify the relation that holds between the subject entity and the object entity.... | {"events": [["Joe Albi Stadium", "owned by", [["Spokane", "object"]], "owner of the subject"]]} |
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 mall is located less than a mile away from the Northshore Mall , in Peabody , although both malls are primarily owned and managed by Simon Property Group .
</input>
Subject entity: Northshore Mall
Object entity: Simon Property Group
Your task is to identify the relation that holds be... | {"events": [["Northshore Mall", "owned by", [["Simon Property Group", "object"]], "owner of the subject"]]} |
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>
On 1 May 2006 , Siddhartha Lal took over as the Chief executive officer and Managing Director of Eicher Motors .
</input>
Subject entity: Eicher Motors
Object entity: Siddhartha Lal
Your task is to identify the relation that holds between the subject entity and the object entity.
For ea... | {"events": [["Eicher Motors", "owned by", [["Siddhartha Lal", "object"]], "owner of the subject"]]} |
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>
No other office skyscraper was built in Philadelphia until Brandywine Realty Trust ( NYSE : BDN ) built the Cira Centre in 2005 .
</input>
Subject entity: Cira Centre
Object entity: Brandywine Realty Trust
Your task is to identify the relation that holds between the subject entity and th... | {"events": [["Cira Centre", "owned by", [["Brandywine Realty Trust", "object"]], "owner of the subject"]]} |
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>
Portugal Telecom is no longer a publicly traded company , since 100 % of its capital is owned by Altice Group .
</input>
Subject entity: Portugal Telecom
Object entity: Altice Group
Your task is to identify the relation that holds between the subject entity and the object entity.
For ea... | {"events": [["Portugal Telecom", "owned by", [["Altice Group", "object"]], "owner of the subject"]]} |
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>
Thomson Francis Mason was originally interred at the Colross graveyard in 1838 , as were two of his daughters .
</input>
Subject entity: Colross
Object entity: Thomson Francis Mason
Your task is to identify the relation that holds between the subject entity and the object entity.
For ea... | {"events": [["Colross", "owned by", [["Thomson Francis Mason", "object"]], "owner of the subject"]]} |
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>
Gorilla is a British advertising campaign launched by Cadbury Schweppes in 2007 , to promote Cadbury Dairy Milk - brand chocolate .
</input>
Subject entity: Cadbury Dairy Milk
Object entity: Cadbury Schweppes
Your task is to identify the relation that holds between the subject entity and... | {"events": [["Cadbury Dairy Milk", "owned by", [["Cadbury Schweppes", "object"]], "owner of the subject"]]} |
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 Prasar Bharati board approved the proposal to start a 24-hour news channel in place of DD Metro , which was closing .
</input>
Subject entity: DD Metro
Object entity: Prasar Bharati
Your task is to identify the relation that holds between the subject entity and the object entity.
Fo... | {"events": [["DD Metro", "owned by", [["Prasar Bharati", "object"]], "owner of the subject"]]} |
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 station was included in a nation - wide program of upgrades to the main Italian stations , by Grandi Stazioni , a subsidiary of Ferrovie dello Stato .
</input>
Subject entity: Grandi Stazioni
Object entity: Ferrovie dello Stato
Your task is to identify the relation that holds between... | {"events": [["Grandi Stazioni", "owned by", [["Ferrovie dello Stato", "object"]], "owner of the subject"]]} |
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 River Services operate boats from nearby London Eye Pier ( also known as the Waterloo Millennium Pier ) and Festival Pier , and run to the City and Greenwich .
</input>
Subject entity: Festival Pier
Object entity: London River Services
Your task is to identify the relation that ho... | {"events": [["Festival Pier", "owned by", [["London River Services", "object"]], "owner of the subject"]]} |
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>
However , in 1992 , then - owner Aamulehti sold Pohjalainen to Ilkka .
</input>
Subject entity: Pohjalainen
Object entity: Ilkka
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identify the relation type
- Descripti... | {"events": [["Pohjalainen", "owned by", [["Ilkka", "object"]], "owner of the subject"]]} |
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>
Originally built entirely as a narrow gauge line , frequent accidents on the line led the Korean State Railway to convert the Hamhŭng — Sinhŭng to standard gauge for greater safety and increased transportation capacity .
</input>
Subject entity: Sinhŭng
Object entity: Korean State Railway... | {"events": [["Sinh\u016dng", "owned by", [["Korean State Railway", "object"]], "owner of the subject"]]} |
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 plan is foiled when Samwise Gamgee greatly injures Shelob with Frodo 's Elvish dagger , Sting , and the Phial of Galadriel .
</input>
Subject entity: Sting
Object entity: Frodo
Your task is to identify the relation that holds between the subject entity and the object entity.
For eac... | {"events": [["Sting", "owned by", [["Frodo", "object"]], "owner of the subject"]]} |
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 Milton Hershey School Trust also has 100 % control of Hershey Entertainment and Resorts Company , which owns the Hotel Hershey and Hersheypark , among other properties .
</input>
Subject entity: Hershey Entertainment and Resorts Company
Object entity: Milton Hershey School Trust
Your... | {"events": [["Hershey Entertainment and Resorts Company", "owned by", [["Milton Hershey School Trust", "object"]], "owner of the subject"]]} |
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>
He has also been the CEO for McCann - Erickson and MTG which has the channels TV3 , TV6 ad ZTV .
</input>
Subject entity: TV3
Object entity: MTG
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identify the relation ... | {"events": [["TV3", "owned by", [["MTG", "object"]], "owner of the subject"]]} |
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>
Until March 2014 , it was 21 % owned by Kingfisher plc , a UK company , who also own the B&Q ; and Castorama DIY chains .
</input>
Subject entity: Castorama
Object entity: Kingfisher plc
Your task is to identify the relation that holds between the subject entity and the object entity.
F... | {"events": [["Castorama", "owned by", [["Kingfisher plc", "object"]], "owner of the subject"]]} |
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>
He bought Wakehurst Place , now owned by the National Trust in 1938 .
</input>
Subject entity: Wakehurst Place
Object entity: National Trust
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identify the relation type... | {"events": [["Wakehurst Place", "owned by", [["National Trust", "object"]], "owner of the subject"]]} |
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>
Powers of the Vancouver council include :
City council sits at City Hall at 453 West 12th Avenue .
</input>
Subject entity: City Hall
Object entity: Vancouver
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Iden... | {"events": [["City Hall", "owned by", [["Vancouver", "object"]], "owner of the subject"]]} |
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>
Viacom International Media Networks Europe launched its first channel MTV Europe on 1 August 1987 from Amsterdam , with its main headquarters in London .
</input>
Subject entity: MTV Europe
Object entity: Viacom International Media Networks Europe
Your task is to identify the relation th... | {"events": [["MTV Europe", "owned by", [["Viacom International Media Networks Europe", "object"]], "owner of the subject"]]} |
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>
Originally operating as part of the D Line , the station was opened on December 19 , 1995 , and is operated by the Regional Transportation District .
</input>
Subject entity: D Line
Object entity: Regional Transportation District
Your task is to identify the relation that holds between t... | {"events": [["D Line", "owned by", [["Regional Transportation District", "object"]], "owner of the subject"]]} |
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>
For the commercial Eric Clapton brought his famous black Fender Stratocaster , " Blackie " , out of retirement at the request of Honda Cars in Japan .
</input>
Subject entity: Blackie
Object entity: Eric Clapton
Your task is to identify the relation that holds between the subject entity ... | {"events": [["Blackie", "owned by", [["Eric Clapton", "object"]], "owner of the subject"]]} |
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>
On December 21 , 2017 it was announced that the Buffalo Beauts had been acquired by Pegula Sports and Entertainment , owners of the Buffalo Sabres , Rochester Americans and the Beauts arena HarborCenter .
</input>
Subject entity: Buffalo Beauts
Object entity: Pegula Sports and Entertainme... | {"events": [["Buffalo Beauts", "owned by", [["Pegula Sports and Entertainment", "object"]], "owner of the subject"]]} |
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>
Othello station is part of Sound Transit 's Central Link line , which runs from Seattle – Tacoma International Airport through the Rainier Valley and Downtown Seattle to the University of Washington .
</input>
Subject entity: Central Link
Object entity: Sound Transit
Your task is to iden... | {"events": [["Central Link", "owned by", [["Sound Transit", "object"]], "owner of the subject"]]} |
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 nearest passenger rail station to New Castle is Wilmington station in Wilmington , which is served by Amtrak and SEPTA Regional Rail 's Wilmington / Newark Line .
</input>
Subject entity: Wilmington station
Object entity: Amtrak
Your task is to identify the relation that holds betwee... | {"events": [["Wilmington station", "owned by", [["Amtrak", "object"]], "owner of the subject"]]} |
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>
' Dream Mall ' is a joint development project between Uni - President Corp. and Tainan Spinning Ltd.
</input>
Subject entity: Dream Mall
Object entity: Uni - President
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
-... | {"events": [["Dream Mall", "owned by", [["Uni - President", "object"]], "owner of the subject"]]} |
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>
Rendlesham Forest is owned by the Forestry Commission and consists of about of coniferous plantations , interspersed with broadleaved belts , heathland and wetland areas .
</input>
Subject entity: Rendlesham Forest
Object entity: Forestry Commission
Your task is to identify the relation ... | {"events": [["Rendlesham Forest", "owned by", [["Forestry Commission", "object"]], "owner of the subject"]]} |
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 December 2010 , Adevărul Holding also launched a sister version of its title asset , published in neighboring Moldova as " Adevărul Moldova " .
</input>
Subject entity: Adevărul Moldova
Object entity: Adevărul Holding
Your task is to identify the relation that holds between the subjec... | {"events": [["Adev\u0103rul Moldova", "owned by", [["Adev\u0103rul Holding", "object"]], "owner of the subject"]]} |
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 line forms part of what JR East refers to as the around Tokyo , consisting of the Keiyo Line , Musashino Line , Nambu Line , and Yokohama Line .
</input>
Subject entity: Nambu Line
Object entity: JR East
Your task is to identify the relation that holds between the subject entity and ... | {"events": [["Nambu Line", "owned by", [["JR East", "object"]], "owner of the subject"]]} |
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>
April 11 , 2011.Building the World ’s First Mobile Rewards Network : Brian Wong , 20-Year - Old Founder of Kiip .
</input>
Subject entity: Kiip
Object entity: Brian Wong
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:... | {"events": [["Kiip", "owned by", [["Brian Wong", "object"]], "owner of the subject"]]} |
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>
News Corporation and Telstra created the rival Foxtel consortium .
</input>
Subject entity: Foxtel
Object entity: News Corporation
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identify the relation type
- Descrip... | {"events": [["Foxtel", "owned by", [["News Corporation", "object"]], "owner of the subject"]]} |
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 was bought by NECCO in 1999.Pittsburgh ’s Very Own , Vintage Clark Bar and Zagnut Bar at CandyFavorites.com candy blog
</input>
Subject entity: Clark Bar
Object entity: NECCO
Your task is to identify the relation that holds between the subject entity and the object entity.
For each r... | {"events": [["Clark Bar", "owned by", [["NECCO", "object"]], "owner of the subject"]]} |
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>
Formed in 2010 by Haim Saban , Saban Capital Group owns Saban Brands , part of Univision Communications , and part of Celestial Tiger Entertainment .
</input>
Subject entity: Celestial Tiger Entertainment
Object entity: Saban Capital Group
Your task is to identify the relation that holds... | {"events": [["Celestial Tiger Entertainment", "owned by", [["Saban Capital Group", "object"]], "owner of the subject"]]} |
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 Cowley plant is now where BMW 's Mini is assembled , known At Plant Oxford .
</input>
Subject entity: Mini
Object entity: BMW
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identify the relation type
- Descript... | {"events": [["Mini", "owned by", [["BMW", "object"]], "owner of the subject"]]} |
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>
Along and around the South Bank , a tourist area has developed around the former Greater London Council headquarters of County Hall and the Southbank Centre and National Theatre .
</input>
Subject entity: County Hall
Object entity: Greater London Council
Your task is to identify the rela... | {"events": [["County Hall", "owned by", [["Greater London Council", "object"]], "owner of the subject"]]} |
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 Spear symbolizes the lance of Longinus that was used at the time of Christ 's death on the Cross to pierce his side , from which flowed blood and water ( ) .
</input>
Subject entity: lance
Object entity: Longinus
Your task is to identify the relation that holds between the subject en... | {"events": [["lance", "owned by", [["Longinus", "object"]], "owner of the subject"]]} |
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 Panamanian Football Federation ( ) , known as FEPAFUT , is the official governing body of football in Panama and is in charge of the Panama national football team .
</input>
Subject entity: Panama national football team
Object entity: FEPAFUT
Your task is to identify the relation tha... | {"events": [["Panama national football team", "owned by", [["FEPAFUT", "object"]], "owner of the subject"]]} |
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 Røa Line is owned by Kollektivtransportproduksjon , and operated by Oslo T - banedrift on contract with the public transport agency Ruter .
</input>
Subject entity: Røa
Object entity: Kollektivtransportproduksjon
Your task is to identify the relation that holds between the subject en... | {"events": [["R\u00f8a", "owned by", [["Kollektivtransportproduksjon", "object"]], "owner of the subject"]]} |
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 Nine Network 's owner , PBL Media , purchased affiliate station NBN Television from its owners SP Telemedia , in May 2007 .
</input>
Subject entity: Nine Network
Object entity: PBL Media
Your task is to identify the relation that holds between the subject entity and the object entity... | {"events": [["Nine Network", "owned by", [["PBL Media", "object"]], "owner of the subject"]]} |
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>
Tata Prima is a range of heavy trucks produced by Tata Daewoo , a wholly owned subsidiary of Tata Motors of India .
</input>
Subject entity: Tata Daewoo
Object entity: Tata Motors
Your task is to identify the relation that holds between the subject entity and the object entity.
For each... | {"events": [["Tata Daewoo", "owned by", [["Tata Motors", "object"]], "owner of the subject"]]} |
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>
On 28 March 2010 , Geely signed a deal worth US$ 1.8 billion to buy Volvo Cars from American automobile manufacturer Ford Motor Company .
</input>
Subject entity: Volvo Cars
Object entity: Geely
Your task is to identify the relation that holds between the subject entity and the object en... | {"events": [["Volvo Cars", "owned by", [["Geely", "object"]], "owner of the subject"]]} |
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>
His memorial service was held on December 30 , 2004 , at the Baughman Center that he and Hazel had given to the University of Florida .
</input>
Subject entity: Baughman Center
Object entity: University of Florida
Your task is to identify the relation that holds between the subject entit... | {"events": [["Baughman Center", "owned by", [["University of Florida", "object"]], "owner of the subject"]]} |
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>
Devassa is a brand of beer based in Brazil made by Brasil Kirin under license from the U.S. company Playboy .
</input>
Subject entity: Devassa
Object entity: Brasil Kirin
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation... | {"events": [["Devassa", "owned by", [["Brasil Kirin", "object"]], "owner of the subject"]]} |
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 following is a list of species recognised by Tropicos maintained by the Missouri Botanical Garden :
</input>
Subject entity: Tropicos
Object entity: Missouri Botanical Garden
Your task is to identify the relation that holds between the subject entity and the object entity.
For each ... | {"events": [["Tropicos", "owned by", [["Missouri Botanical Garden", "object"]], "owner of the subject"]]} |
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>
On 14 October 2011 , KSÍ announced they had appointed Heimir as assistant manager of the Iceland national football team as they announced they had appointed Lars Lagerbäck as manager .
</input>
Subject entity: Iceland national football team
Object entity: KSÍ
Your task is to identify the... | {"events": [["Iceland national football team", "owned by", [["KS\u00cd", "object"]], "owner of the subject"]]} |
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>
Originally known as " Sendai distillery " , it was the second to be established by Nikka Whisky , after the company ’s Yoichi distillery in Hokkaido .
</input>
Subject entity: Yoichi distillery
Object entity: Nikka Whisky
Your task is to identify the relation that holds between the subje... | {"events": [["Yoichi distillery", "owned by", [["Nikka Whisky", "object"]], "owner of the subject"]]} |
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>
Canwest ultimately went bankrupt in 2010 , selling the bulk of its broadcast properties including Global BC to Corus sibling company Shaw Communications , which in turn transferred them to Corus in 2016 .
</input>
Subject entity: Global BC
Object entity: Shaw Communications
Your task is ... | {"events": [["Global BC", "owned by", [["Shaw Communications", "object"]], "owner of the subject"]]} |
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>
Sion play their home matches at the multi - purpose Stade Tourbillon , which has a capacity of 14,500 .
</input>
Subject entity: Stade Tourbillon
Object entity: Sion
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- I... | {"events": [["Stade Tourbillon", "owned by", [["Sion", "object"]], "owner of the subject"]]} |
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>
Khan joined Mikhail Fridman in establishing LetterOne , based in Luxembourg , for the purpose of investing proceeds of the proceeds from the TNK - BP sale in international projects .
</input>
Subject entity: LetterOne
Object entity: Mikhail Fridman
Your task is to identify the relation t... | {"events": [["LetterOne", "owned by", [["Mikhail Fridman", "object"]], "owner of the subject"]]} |
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 April 2016 KBL " epb " has signed a preliminary agreement to acquire Insinger de Beaufort from the parent BNP Paribas Wealth Management .
</input>
Subject entity: Insinger de Beaufort
Object entity: BNP Paribas Wealth Management
Your task is to identify the relation that holds between... | {"events": [["Insinger de Beaufort", "owned by", [["BNP Paribas Wealth Management", "object"]], "owner of the subject"]]} |
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 2015 Trinity Mirror bought Local World 's newspapers and online services .
</input>
Subject entity: Local World
Object entity: Trinity Mirror
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identify the relation ... | {"events": [["Local World", "owned by", [["Trinity Mirror", "object"]], "owner of the subject"]]} |
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 August 2015 , GrafTech was purchased by Brookfield Asset Management .
</input>
Subject entity: GrafTech
Object entity: Brookfield Asset Management
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identify the rela... | {"events": [["GrafTech", "owned by", [["Brookfield Asset Management", "object"]], "owner of the subject"]]} |
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>
From just after Finchley Road these four tracks run parallel with the Network Rail Chiltern Main Line from Marylebone .
</input>
Subject entity: Chiltern Main Line
Object entity: Network Rail
Your task is to identify the relation that holds between the subject entity and the object entit... | {"events": [["Chiltern Main Line", "owned by", [["Network Rail", "object"]], "owner of the subject"]]} |
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 " Keighley News " is owned by Newsquest , the second largest publisher of regional newspapers in the United Kingdom .
</input>
Subject entity: Keighley News
Object entity: Newsquest
Your task is to identify the relation that holds between the subject entity and the object entity.
Fo... | {"events": [["Keighley News", "owned by", [["Newsquest", "object"]], "owner of the subject"]]} |
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>
From 2016 , " Morgenbladet " 's headquarters are co - located with NHST Media Group and Dagens Næringsliv at Akerselva Atrium .
</input>
Subject entity: Morgenbladet
Object entity: NHST Media Group
Your task is to identify the relation that holds between the subject entity and the object... | {"events": [["Morgenbladet", "owned by", [["NHST Media Group", "object"]], "owner of the subject"]]} |
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>
On June 2 , 2013 , AOL sold Noisecreep , The Boot and The Boombox to Townsquare Media . AOL ’s Orphaned Music Sites Find a Home at Townsquare Media
</input>
Subject entity: Noisecreep
Object entity: Townsquare Media
Your task is to identify the relation that holds between the subject ent... | {"events": [["Noisecreep", "owned by", [["Townsquare Media", "object"]], "owner of the subject"]]} |
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>
On March 6 , 2014 Spotify announced that they had acquired The Echo Nest .
</input>
Subject entity: The Echo Nest
Object entity: Spotify
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identify the relation type
- D... | {"events": [["The Echo Nest", "owned by", [["Spotify", "object"]], "owner of the subject"]]} |
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>
Dallas Mavericks owner Mark Cuban had earlier announced that Harper 's jersey was to be retired during the 2013–2014 season , but later Cuban said that it would not be retired that season .
</input>
Subject entity: Dallas Mavericks
Object entity: Mark Cuban
Your task is to identify the r... | {"events": [["Dallas Mavericks", "owned by", [["Mark Cuban", "object"]], "owner of the subject"]]} |
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>
He learned that the Italian Line 's SS " Rex " was bound for New York and would pass the mark on 11 May.
</input>
Subject entity: SS " Rex "
Object entity: Italian Line
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
... | {"events": [["SS \" Rex \"", "owned by", [["Italian Line", "object"]], "owner of the subject"]]} |
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 construction of Edo Castle by Ōta Dōkan , a vassal of Uesugi Mochitomo , began in 1457 during the Muromachi period in what is now the East Garden of the Imperial Palace .
</input>
Subject entity: Edo Castle
Object entity: Ōta Dōkan
Your task is to identify the relation that holds bet... | {"events": [["Edo Castle", "owned by", [["\u014cta D\u014dkan", "object"]], "owner of the subject"]]} |
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>
Super VHS - C or S - VHS Compact was developed by JVC in 1987 .
</input>
Subject entity: Super VHS
Object entity: JVC
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: explain... | {"events": [["Super VHS", "owned by", [["JVC", "object"]], "owner of the subject"]]} |
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>
On Saturday 27 October 1951 , 33,230 spectators saw Leigh lose 14–6 to Wigan in the final of the Lancashire County Cup at Station Road , Swinton .
</input>
Subject entity: Station Road
Object entity: Swinton
Your task is to identify the relation that holds between the subject entity and ... | {"events": [["Station Road", "owned by", [["Swinton", "object"]], "owner of the subject"]]} |
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>
College Hall at the University of Pennsylvania , for example , is constructed out of serpentine .
</input>
Subject entity: College Hall
Object entity: University of Pennsylvania
Your task is to identify the relation that holds between the subject entity and the object entity.
For each r... | {"events": [["College Hall", "owned by", [["University of Pennsylvania", "object"]], "owner of the subject"]]} |
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>
For a time it was also California 's tallest building , replacing both the Russ Building in San Francisco and the Los Angeles City Hall in Los Angeles , California .
</input>
Subject entity: Los Angeles City Hall
Object entity: Los Angeles , California
Your task is to identify the relati... | {"events": [["Los Angeles City Hall", "owned by", [["Los Angeles , California", "object"]], "owner of the subject"]]} |
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 station is owned by the Nation Broadcasting Corporation , a subsidiary of PLDT Beneficial Trust Fund 's broadcasting division MediaQuest Holdings .
</input>
Subject entity: Nation Broadcasting Corporation
Object entity: MediaQuest Holdings
Your task is to identify the relation that h... | {"events": [["Nation Broadcasting Corporation", "owned by", [["MediaQuest Holdings", "object"]], "owner of the subject"]]} |
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 adjacent Ogden Intermodal Transit Center currently serves the Utah Transit Authority 's ( UTA ) " FrontRunner " commuter rail line .
</input>
Subject entity: Ogden Intermodal Transit Center
Object entity: Utah Transit Authority
Your task is to identify the relation that holds between... | {"events": [["Ogden Intermodal Transit Center", "owned by", [["Utah Transit Authority", "object"]], "owner of the subject"]]} |
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>
Its sister newspapers include " ABC " , " El Correo Español " , " El Diario Vasco " and " La Verdad " , all of which are part of the Vocento Group .
</input>
Subject entity: ABC
Object entity: Vocento Group
Your task is to identify the relation that holds between the subject entity and t... | {"events": [["ABC", "owned by", [["Vocento Group", "object"]], "owner of the subject"]]} |
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>
He co - founded Banco Safra with his brothers Edmond Safra and Joseph Safra .
</input>
Subject entity: Banco Safra
Object entity: Joseph Safra
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identify the relation ty... | {"events": [["Banco Safra", "owned by", [["Joseph Safra", "object"]], "owner of the subject"]]} |
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 magazine was published by ABP Group , whose most prominent publications are " The Telegraph " , Anandabazar Patrika , Sananda , Anandamela and others .
</input>
Subject entity: Anandabazar Patrika
Object entity: ABP Group
Your task is to identify the relation that holds between the s... | {"events": [["Anandabazar Patrika", "owned by", [["ABP Group", "object"]], "owner of the subject"]]} |
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 aircraft involved , a Boeing 767 - 300ER , was operating as LOT Polish Airlines ' scheduled international service from Newark Liberty International Airport , New Jersey , to Warsaw .
</input>
Subject entity: Newark Liberty International Airport
Object entity: New Jersey
Your task is ... | {"events": [["Newark Liberty International Airport", "owned by", [["New Jersey", "object"]], "owner of the subject"]]} |
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 2012 , he sold his production company , So Television , to ITV for around £ 17 million .
</input>
Subject entity: So Television
Object entity: ITV
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- Identify the re... | {"events": [["So Television", "owned by", [["ITV", "object"]], "owner of the subject"]]} |
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>
Howrah - Yesvantpur Humsafar Express Humsafar Express is a superfast express train of the Indian Railways connecting Yesvantpur Junction in Karnataka and Howrah Junction in West Bengal to .
</input>
Subject entity: Yesvantpur Junction
Object entity: Indian Railways
Your task is to identi... | {"events": [["Yesvantpur Junction", "owned by", [["Indian Railways", "object"]], "owner of the subject"]]} |
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 Consolidated Edison Building , also previously known as the Consolidated Gas Building , is a Neoclassical skyscraper built in 1928 .
</input>
Subject entity: Consolidated Gas Building
Object entity: Consolidated Edison
Your task is to identify the relation that holds between the subj... | {"events": [["Consolidated Gas Building", "owned by", [["Consolidated Edison", "object"]], "owner of the subject"]]} |
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>
Trains are operated by the SüdostBayernBahn network of Deutsche Bahn AG as well as by the private Bayerische Oberlandbahn railway company ( Meridian ) .
</input>
Subject entity: SüdostBayernBahn
Object entity: Deutsche Bahn AG
Your task is to identify the relation that holds between the ... | {"events": [["S\u00fcdostBayernBahn", "owned by", [["Deutsche Bahn AG", "object"]], "owner of the subject"]]} |
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>
Medway station was originally part of the New York , New Haven and Hartford Railroad , until the line was cut back to Needham Junction in July 1938 .
</input>
Subject entity: Medway station
Object entity: New York , New Haven and Hartford Railroad
Your task is to identify the relation th... | {"events": [["Medway station", "owned by", [["New York , New Haven and Hartford Railroad", "object"]], "owner of the subject"]]} |
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 was bought by the York Archaeological Trust in 1987 , renamed Barley Hall , and heavily restored in a controversial project to form a museum .
</input>
Subject entity: Barley Hall
Object entity: York Archaeological Trust
Your task is to identify the relation that holds between the sub... | {"events": [["Barley Hall", "owned by", [["York Archaeological Trust", "object"]], "owner of the subject"]]} |
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 Karl Renner Haus is named after the former Austrian politician and co - founder of the Friends of Nature , Karl Renner .
</input>
Subject entity: Karl Renner Haus
Object entity: Friends of Nature
Your task is to identify the relation that holds between the subject entity and the obje... | {"events": [["Karl Renner Haus", "owned by", [["Friends of Nature", "object"]], "owner of the subject"]]} |
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>
Fraser Mansion now serves as the National Affairs office for the Church of Scientology .
</input>
Subject entity: Fraser Mansion
Object entity: Church of Scientology
Your task is to identify the relation that holds between the subject entity and the object entity.
For each relation:
- I... | {"events": [["Fraser Mansion", "owned by", [["Church of Scientology", "object"]], "owner of the subject"]]} |
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>
11465/ 66 Somnath - Jabalpur Express is an Express train belonging to Indian Railways that runs between Somnath and Jabalpur Junction in India .
</input>
Subject entity: Somnath
Object entity: Indian Railways
Your task is to identify the relation that holds between the subject entity and... | {"events": [["Somnath", "owned by", [["Indian Railways", "object"]], "owner of the subject"]]} |
End of preview. Expand in Data Studio
FEWREL — continual learning splits
The FEWREL 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
FewRel is released by THUNLP under its own terms; check before making public.
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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