schema stringclasses 1
value | input stringlengths 728 2.67k | output stringlengths 62 628 |
|---|---|---|
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | In the context of "Text: 'From Rowsley , it follows the <head> River Wye </head> , meeting the B5056 near the endpoint of the <tail> River Lathkill </tail> .'", can you identify and categorize any relationship between "river wye" and "river lathkill" from the following options: [architect, instrument, operator, mountai... | {"subject": "the tributary) contributes its waters to another main river. [Answer]: (river wye", "relation": "tributary", "object": "river lathkill"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Read the given context "Text: 'She married Austrian journalist and politician , <tail> Helmut Zilk </tail> , in 1978 , and became the first lady of <head> Vienna </head> while he served as mayor .'", identify relationships between its different entities (marked with "vienna" and "helmut zilk") and classify the relation... | {"subject": "the city over which the individual has executive power), and \"Helmut Zilk\" is the object (the individual holding the position of mayor). The relationship between them is classified as \"head_of_government,\" which accurately reflects Zilk's position as the mayor of Vienna. [Answer]: (vienna", "relation":... |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Classify the relation between "al franken" and "minneapolis" in the given text:
Text: 'Senator <head> Al Franken </head> , Mayor of <tail> Minneapolis </tail> Betsy Hodges , <tail> Minneapolis </tail> City Council Member Abdi Warsame and Minnesota State Representative Karen Clark .'
Choose any of the following catego... | {"subject": "al franken", "relation": "residence", "object": "minneapolis"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Read the given context "Text: 'In terms of combined <tail> iOS </tail> and Android downloads , WiFi Master Key is ranked 5th in the world in below <head> WhatsApp </head> , Instagram , Facebook and Facebook Messenger .'", identify relationships between its different entities (marked with "whatsapp" and "ios") and class... | {"subject": "WhatsApp) with the hardware's operating system (iOS). [Answer]: (whatsapp", "relation": "operating system", "object": "ios"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Entity Relation Classification
['subsidiary' means '', 'league' means 'league in which team or player plays or has played in', 'has_part' means 'part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).', 'country_of_origin' means 'country of origin of this item (creative w... | {"subject": "tomtom", "relation": "subsidiary", "object": "tele atlas"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Find the entity pair with a relationship in the following text:
<text>
and choose the corresponding relationship from the set of categories: [distributor, mouth of the watercourse, publisher, director, country of origin, contains administrative territorial entity, performer, screenwriter, participant, sibling, instrum... | {"subject": "pedernales river", "relation": "mouth of the watercourse", "object": "lake travis"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Identify the type of relationship between <entity1> and <entity2>, marked in the given text "Text: 'The results of the investigation were received by the <tail> Minister for Justice , Equality and Law Reform </tail> <head> Gerry Collins </head> on 8 April 1988 , but have never been published .'". Please classify it int... | {"subject": "gerry collins", "relation": "position-held", "object": "minister for justice, equality and law reform"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Generate the entity-relation triplet from the context. Text: '1985 's " <tail> Around the World in a Day </tail> " released within a year of its predecessor and days after the lucrative <head> Purple Rain </head> tour was curtailed , had no lead single or advance promotion .'.
The relations are from [director, occupat... | {"subject": "purple rain", "relation": "followed-by", "object": "around the world in a day"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Analyze the text in context and mention any relevant relationships that exist between markerd (with <entity>) individuals or objects or entities. If there is no relationship between the two entities, please output "No relation". Text: Text: 'In May 2010 , " <head> Condor Rapide </head> " , <tail> Incat </tail> Hull 045... | {"subject": "condor rapide", "relation": "manufacturer", "object": "incat"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Examine the given text: Text: 'Stevens represented the Rangitikei electorate from <head> 1881 </head> to <tail> 1884 </tail> when he was defeated , and then from 1893 to 1896 .', find the entity <entity1> and <entity2>. Can you detect the relation between these two? Choose from the following pre-defined categories: [wo... | {"subject": "1881) and <entity2> (1884), within the context of the given text. The text mentions that Stevens represented the Rangitikei electorate starting from 1881 to 1884, indicating a sequential timeline. The relation \"followed by\" is appropriate because it accurately describes the sequence in which the years oc... |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Extract and classify the relationship between the two mentioned entities in the text.
Text: 'At the 2017 <head> North American International Auto Show </head> in <tail> Detroit </tail> , Michigan Nissan revealed the North American version of the Qashqai to slot between the Juke & Rogue .'
[screenwriter, distributor, m... | {"subject": "north american international auto show", "relation": "located in the administrative territorial entity", "object": "detroit"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Examining the given text 'Text: 'CBS broadcast the fourth season on Monday at 8:30 pm in the <tail> United States </tail> between <head> How I Met Your Mother </head> and Two and a Half Men .'', can you identify any relationship between '<entity1>' and '<entity2>'? If there is a relationship, classify it into one of th... | {"subject": "how i met your mother", "relation": "country of origin", "object": "united states"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | In the context of "<text>", can you identify and categorize any relationship between <entity1> and <entity2> from the following options: [applies to jurisdiction, headquarters location, distributor, has part, military branch, followed by, father, notable work, nominated for, occupation, successful candidate, characters... | {"subject": "rostock", "relation": "head of government", "object": "klaus kilimann"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Examine the given paragraph:
Text: 'The Stade Louis II in Monaco was the venue for the <tail> UEFA Super Cup </tail> every year since <head> 1998 </head> .'
Can you identify the relationship between the entities "1998" and "uefa super cup"? Please choose which of the following categories this relationship falls under:... | {"subject": "1998", "relation": "sports season of league or competition", "object": "uefa super cup"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Can we extract relations between the two entities from the text?
<text>
If any, classify the relation into the categories: [league, subsidiary, work location, platform, screenwriter, occupation, headquarters location, said to be the same as, nominated for, religion, position held, licensed to broadcast to, movement, a... | {"subject": "the subject) and conductor (the object) is classified under the category 'occupation'. This indicates that Giuseppe Patane's job or role was that of a conductor. [Answer]: (giuseppe patane", "relation": "occupation", "object": "conductor"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Please read the following "Text: 'Fast & Furious : Supercharged is an attraction , opened on June 25 , 2015 as part of the <head> Studio Tour </head> at <tail> Universal Studios Hollywood </tail> .'", identify and classify any connection between <entity1> and <entity2> from one of the following options: [military branc... | {"subject": "studio tour", "relation": "location", "object": "universal studios hollywood"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Please classify relationships between the two entities (marked with <entity> and </entity>).
If the two entities have no relationships, please answer NA.
The set of relationships is as follows:[[participating team, father, residence, occupant, located on terrain feature, mountain range, distributor, movement, partici... | {"subject": "albert ii", "relation": "father", "object": "albert i of saxony"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Can we extract relations between the two entities from the text?
<text>
If any, classify the relation into the categories: [location_of_formation, performer, director, contains_administrative_territorial_entity, operating_system, notable_work, after_a_work_by, participant, participating_team, distributor, owned_by, co... | {"subject": "Personal Ancestral File", "relation": "operating_system", "object": "Windows"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Analyze the context and recognize any influential relationships that are either directly or indirectly mentioned in the provided content.
Content: Text: 'The electorate encompasses many of the suburbs in the City of Moreland in <tail> Melbourne </tail> 's north , including <head> Brunswick </head> , Coburg , Pascoe Va... | {"subject": "head) of the relationship, \"located in the administrative territorial entity\" the type of relationship (relation), and \"Melbourne\" the object (tail) of this relationship. [Answer]: (brunswick", "relation": "located in the administrative territorial entity", "object": "melbourne"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Given the following context: Text: '<head> EAServer </head> is an application server developed by the company <tail> Sybase </tail> .'. Identify the relations between entities and classify them into one of the following: [tributary, located in the administrative territorial entity, place served by transport hub, work l... | {"subject": "easerver", "relation": "developer", "object": "sybase"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Given the mentioned contexts "<text>", is there a relationship marked between entities <entity1> and <entity2>? If yes, please label the relation using one of the following categories [league: 'league in which team or player plays or has played in', notable-work: 'notable scientific, artistic or literary work, or other... | {"subject": "the yearling", "relation": "after-a-work-by", "object": "marjorie kinnan rawlings"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Carefully read and analyze the given paragraph "Text: 'Wallace was officially appointed captain on a permanent basis prior to Rangers ' 5–1 win over <tail> Alloa Athletic </tail> at <head> Recreation Park </head> on 16 August 2015 .'" and identify if there is any relationship between two marked entities (<entity1> and ... | {"subject": "recreation park", "relation": "occupant", "object": "alloa athletic"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Determine the subcategories of the type of relationship between <entity1> and <entity2> that are described in this provided text: "<text>". Use the following options: [said_to_be_the_same_as, characters, mouth_of_the_watercourse, subsidiary, contains_administrative_territorial_entity, work_location, genre, participant,... | {"subject": "head) and New York Governor (tail) is best described as \"position_held.\" This indicates that Seymour once held the position of New York Governor. [Answer]: (horatio seymour", "relation": "position_held", "object": "new york governor"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Identify and classify the relationship between "24 hours of daytona" and "daytona international speedway" in the given text:
Text: 'In 2004 , along with his son Mark , they competed and placed 3rd in their class at the Rolex <head> 24 Hours of Daytona </head> at the <tail> Daytona International Speedway </tail> .'
C... | {"subject": "24 hours of daytona", "relation": "location", "object": "daytona international speedway"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Consider the sentence: <text> and two entities "pakistan navy", "islamabad", label the relation between the two entities into [occupation, licensed_to_broadcast_to, occupant, screenwriter, participant_of, instance_of, location, taxon_rank, after_a_work_by, subsidiary, sibling, record_label, residence, father, successfu... | {"subject": "pakistan navy", "relation": "location", "object": "islamabad"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Given the following context: <text>. Identify the relations between entities and classify them into one of the following: [applies to jurisdiction, member of political party, mountain range, country of origin, occupant, successful candidate, director, followed by, developer, contains administrative territorial entity, ... | {"subject": "the day the earth caught fire", "relation": "screenwriter", "object": "wolf mankowitz"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | In the context of "<text>", can you identify and categorize any relationship between <entity1> and <entity2> from the following options: ['participant_of' means 'event a person or an organization was/is a participant in, inverse of P710 or P1923', 'instrument' means 'musical instrument that a person plays', 'head_of_go... | {"subject": "mount northampton", "relation": "mountain_range", "object": "victory mountains"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Consider the sentence: Text: 'An Indonesian endemic , the Moluccan megapode is confined to hill and mountain forests on the <head> Maluku Islands </head> of <tail> Halmahera </tail> , Buru , Seram , Ambon , Ternate , Haruku and Bacan .' and two entities <entity1>, <entity2>, label the relation between the two entities ... | {"subject": "maluku islands", "relation": "has part", "object": "halmahera"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Identify and classify the relationship between "total war series" and "microsoft windows" in the given text:
<text>
Choose one of the following types of relationship: [has part, occupant, genre, country of citizenship, distributor, country, performer, headquarters location, contains administrative territorial entity... | {"subject": "total war series", "relation": "platform", "object": "microsoft windows"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Classify the relation between <entity1> and <entity2> in the given text:
Text: 'The most noteworthy was a 40-yard free - kick against his former team <tail> Esteghlal </tail> in the <head> Azadi Stadium </head> .'
Choose any of the following categories: [military branch, member of political party, distributor, work l... | {"subject": "azadi stadium", "relation": "occupant", "object": "esteghlal"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Examining the given text 'Text: 'In June 2017 , Khan appeared in " Tubelight " , his third collaboration with <head> Kabir Khan </head> after " <tail> Ek Tha Tiger </tail> " and " Bajrangi Bhaijaan " .'', can you identify any relationship between '"kabir khan"' and '"ek tha tiger"'? If there is a relationship, classify... | {"subject": "kabir khan", "relation": "notable-work", "object": "ek tha tiger"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Determine the subcategories of the type of relationship between "colm tóibín" and "novel of the same name" that are described in this provided text: "Text: 'Writer Nick Hornby adapted the screenplay from <head> Colm Tóibín </head> 's <tail> novel of the same name </tail> .'". Use the following options: [place served by... | {"subject": "colm tóibín", "relation": "notable work", "object": "novel of the same name"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Classify the relation between <entity1> and <entity2> in the given text:
<text>
Choose any of the following categories: [characters, licensed to broadcast to, father, screenwriter, genre, owned by, head of government, sibling, composer, member of political party, located in the administrative territorial entity, nota... | {"subject": "bader al-mutawa", "relation": "country of citizenship", "object": "kuwait"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Determine the subcategories of the type of relationship between "mojot svet" and "karolina gočeva" that are described in this provided text: "Text: 'Most recently , he wrote the song " <head> Mojot Svet </head> " which was a Macedonian entry performed by <tail> Karolina Gočeva </tail> at the Eurovision Song Contest 200... | {"subject": "mojot svet", "relation": "performer", "object": "karolina gočeva"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | In the context of "<text>", can you identify and categorize any relationship between "polyvore" and "yahoo" from the following options: [heritage designation: 'heritage designation of a cultural or natural site', applies to jurisdiction: 'the item (an institution, law, public office ...) or statement belongs to or has ... | {"subject": "polyvore", "relation": "owned by", "object": "yahoo"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Analyze the provided content "<text>" and identify any conceivable connections between "manru" and "ignacy paderewski" and highlight the possible scenarios that these relationships may produce. Use the following options: ['contains administrative territorial entity' means '(list of) direct subdivisions of an administra... | {"subject": "manru", "relation": "composer", "object": "ignacy paderewski"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Examine the given text: Text: 'After finishing " <head> Wait Your Turn </head> , " <tail> Rihanna </tail> transitioned into " Hard " , whilst red lasers shone throughout the stage and audience , as well as from her spiked shoulder pads .', find the entity "wait your turn" and "rihanna". Can you detect the relation betw... | {"subject": "wait your turn", "relation": "performer", "object": "rihanna"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Please read the following "Text: 'Nusch Éluard ( born <head> Maria Benz </head> ; June 21 , 1906 – November 28 , 1946 ) was a French performer , model and <tail> surrealist </tail> artist .'", identify and classify any connection between "maria benz" and "surrealist" from one of the following options: [subsidiary: 'sub... | {"subject": "maria benz", "relation": "movement", "object": "surrealist"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Please classify relationships between the two entities (marked with <entity> and </entity>).
If the two entities have no relationships, please answer NA.
The set of relationships is as follows:[[owned-by, member-of-political-party, residence, said-to-be-the-same-as, place-served-by-transport-hub, heritage-designation... | {"subject": "haining open", "relation": "winner", "object": "ding junhui"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Given the text "<text>", generate the relationships between <entity1> and <entity2>. The possible relationships may include [record_label: 'brand and trademark associated with the marketing of subject music recordings and music videos', architect: '', director: 'director(s) of film, TV-series, stageplay, video game or ... | {"subject": "entity1) and Keʻeaumoku Pāpaʻiahiahi (entity2) is that of a daughter to her father. This is why the answer is given as \"(kaʻahumanu", "relation": "father", "object": "keʻeaumoku pāpaʻiahiahi"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | In the context of "Text: '<head> Bakso </head> can be found all across <tail> Indonesia </tail> ; from the traveling cart street vendors to restaurants .'", can you identify and categorize any relationship between "bakso" and "indonesia" from the following options: [after a work by, director, original network, genre, d... | {"subject": "head: bakso", "relation": "relation: country of origin", "object": "tail: Indonesia"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Given the text, "Text: 'Seats are allocated to constituencies , corresponding to the <tail> provinces </tail> of Almería , Cádiz , Córdoba , Granada , Huelva , Jaén , <head> Málaga </head> and Seville .'", identify the relationship between "málaga" and "provinces". Classify the relationship into one of the following ca... | {"subject": "málaga", "relation": "instance of", "object": "provinces"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Please classify relationships between the two entities (marked with <entity> and </entity>).
If the two entities have no relationships, please answer NA.
The set of relationships is as follows:[[military branch: 'branch to which this military unit, award, office, or person belongs, e.g. Royal Navy', location of forma... | {"subject": "crime mob", "relation": "location of formation", "object": "atlanta"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Review the following text and describe the relation between the two entities "herbert chermside" and "british army":
<text>
Choose from the following relationship categories: ['has part' means 'part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).', 'location of forma... | {"subject": "herbert chermside", "relation": "military branch", "object": "british army"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Consider the sentence: Text: 'Female variants of the name include " Christine " , " Christina " , " <head> Christiane </head> " , " Cristiane " , " Kristen " , " <tail> Kristin </tail> " , and " Kirsten " .' and two entities "christiane", "kristin", label the relation between the two entities into [contains administrat... | {"subject": "christiane", "relation": "said to be the same as", "object": "kristin"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Given the text "<text>", generate the relationships between "1905" and "1906". The possible relationships may include [country, director, head of government, record label, member of political party, nominated for, located in the administrative territorial entity, position held, winner, participant of, after a work by, ... | {"subject": "1905", "relation": "followed by", "object": "1906"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Please read the following "Text: 'He published a funeral sermon on Thomas Holland , in 1613 , and also a volume of commentary on the " <head> Book of Exodus </head> , " drawn from earlier <tail> Hebrew </tail> rabbinical studies .'", identify and classify any connection between "book of exodus" and "hebrew" from one of... | {"subject": "book of exodus", "relation": "language of work or name", "object": "hebrew"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | "erie insurance arena" and "erie panthers" are mentioned in the text: <text>. Can you identify and categorize their relation? Pick one from ['located_in_the_administrative_territorial_entity' means 'the item is located on the territory of the following administrative entity. Use P276 (location) for specifying the locat... | {"subject": "erie insurance arena", "relation": "occupant", "object": "erie panthers"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Find the entity pair with a relationship in the following text:
Text: 'On 12 July 1998 , she assisted at the <head> FIFA World Cup Final </head> that opposed France and Brazil at the <tail> Stade de France </tail> .'
and choose the corresponding relationship from the set of categories: [religion, distributor, field of... | {"subject": "fifa world cup final", "relation": "location", "object": "stade de france"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Please classify relationships between the two entities (marked with <entity> and </entity>).
If the two entities have no relationships, please answer NA.
The set of relationships is as follows:[[nominated for, operating system, place served by transport hub, record label, developer, after a work by, winner, religion,... | {"subject": "bethel presbyterian church", "relation": "heritage designation", "object": "national register of historic places"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Extract and classify the relationship between the two mentioned entities in the text.
Text: 'Games of hurling were played every weekend until 1914 and received frequent coverage from Argentina 's <tail> Spanish language </tail> newspapers , such as " <head> La Nación </head> " .'
[league: '', architect: 'person or arc... | {"subject": "la nación", "relation": "language of work or name", "object": "spanish language"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Examine the given paragraph:
Text: 'Josée Néron is a Canadian politician , who was elected mayor of Saguenay , <tail> Quebec </tail> in the <head> 2017 municipal election </head> .'
Can you identify the relationship between the entities <entity1> and <entity2>? Please choose which of the following categories this rela... | {"subject": "2017 municipal election", "relation": "applies to jurisdiction", "object": "quebec"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Consider the sentence: <text> and two entities <entity1>, <entity2>, label the relation between the two entities into ['occupation' means 'occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)', 'record-label' means 'brand and trademark associated with the marketing of subject... | {"subject": "ulsan munsu baseball stadium", "relation": "occupant", "object": "lotte giants"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Given the text, "<text>", identify the relationship between <entity1> and <entity2>. Classify the relationship into one of the following categories: [composer, nominated for, participating team, member of political party, taxon rank, original network, located on terrain feature, said to be the same as, developer, scree... | {"subject": "wcog", "relation": "licensed to broadcast to", "object": "greensboro"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | <entity1> and <entity2> are mentioned in the text: Text: 'In Richard Wagner 's cycle of music dramas , " Der Ring des Nibelungen " , the character <head> Alberich </head> is based in some part on <tail> Andvari </tail> , but more on the Frankish sorcerer <head> Alberich </head> .'. Can you identify and categorize their... | {"subject": "alberich", "relation": "said_to_be_the_same_as", "object": "andvari"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Can you extract a relation between the entities '<entity1>' and '<entity2>' from the text '<text>'? If you can identify a relation, categorize it based on the following options available [nominated for, tributary, mountain range, participating team, occupant, notable work, genre, country of citizenship, position held, ... | {"subject": "daggermouth", "relation": "location of formation", "object": "vancouver"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | In the following sentence, there are two entities <entity1> and <entity2>.
Text: 'SteadyState presents a list of programs found in the <head> Program Files </head> directory of <tail> Windows </tail> and on the common desktop .'
Please indentify and classify their relations into the predifined category set: [taxon ran... | {"subject": "program files", "relation": "operating system", "object": "windows"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Examine the given text: Text: 'Carawan is famous for introducing the <tail> protest song </tail> " <head> We Shall Overcome </head> " to the American Civil Rights Movement , by teaching it to the Student Nonviolent Coordinating Committee ( SNCC ) in 1960 .', find the entity "we shall overcome" and "protest song". Can y... | {"subject": "we shall overcome", "relation": "genre", "object": "protest song"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Text: 'Elkov – <head> Author </head> ( " UCI Code " : ELA ) is a UCI Continental road bicycle racing team based in <tail> Czech Republic </tail> and participates in UCI Europe Tour .'
[located in the administrative territorial entity: 'the item is located on the territory of the following administrative entity. Use P2... | {"subject": "referring to the team Elkov – Author) has a 'headquarters location' relation with the object 'Czech Republic'. This is why the answer is structured as (subject: author", "relation": "relation: headquarters location", "object": "object: czech republic"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Analyze the provided content "<text>" and identify any conceivable connections between "tomb raider" and "core design" and highlight the possible scenarios that these relationships may produce. Use the following options: [after a work by, military branch, nominated for, characters, sibling, developer, head of governmen... | {"subject": "head entity) and \"Core Design\" as the entity responsible for its development (tail entity), hence the relationship is identified as \"developer\". [Answer]: (tomb raider", "relation": "developer", "object": "core design"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Entity Relation Classification
[movement: 'literary, artistic, scientific or philosophical movement associated with this person or work', characters: 'characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games)', notable work: 'notable scientific, artistic or lite... | {"subject": "stephen king", "relation": "notable work", "object": "the talisman"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | In the following sentence, there are two entities <entity1> and <entity2>.
<text>
Please indentify and classify their relations into the predifined category set: [religion, participant of, winner, composer, headquarters location, position held, instance of, contains administrative territorial entity, movement, genre, ... | {"subject": "\"2007 state elections\") and object (\"Bremen\") are correctly placed with the identified relation (\"applies to jurisdiction\"). [Answer]: (2007 state elections", "relation": "applies to jurisdiction", "object": "bremen"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Given the text "Text: 'Designed by architect <tail> Henry Hobson Richardson </tail> , it opened in 1875 , and is known as the <head> Brattle Square Church </head> .'", generate the relationships between "brattle square church" and "henry hobson richardson". The possible relationships may include [subsidiary, applies to... | {"subject": "brattle square church", "relation": "architect", "object": "henry hobson richardson"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | <text>
['located on terrain feature' means 'located on the specified landform. Should not be used when the value is only political/administrative (P131) or a mountain range (P4552).', 'sibling' means 'the subject has the object as their sibling (brother, sister, etc.). Use "relative" (P1038) for siblings-in-law (broth... | {"subject": "1954 british grand prix", "relation": "location", "object": "silverstone"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Carefully read and analyze the given paragraph "Text: 'For 2007 , the BTC - spec MG was no longer eligible to win the championship outright , so the team switched to the <tail> BMW </tail> <head> 320si </head> .'" and identify if there is any relationship between two marked entities ("320si" and "bmw") or not. If there... | {"subject": "320si", "relation": "manufacturer", "object": "bmw"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Extract the relation between <entity1> and <entity2> from the following text: Text: 'He had only been Liberal leader for a number of days when then - Premier <tail> Peter Beattie </tail> called the <head> 2006 state election </head> , which the conservative parties lost decisively .'. Classify the relation into one of ... | {"subject": "2006 state election", "relation": "successful candidate", "object": "peter beattie"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Please read the following "Text: 'The <head> Tobol ( Tobyl ) River </head> , a tributary of the <tail> Irtysh River </tail> , starts in and flows through the region on its way to Russia .'", identify and classify any connection between "tobol (tobyl) river" and "irtysh river" from one of the following options: [partici... | {"subject": "Tobyl) River\" flows into the tail entity \"Irtysh River,\" making \"mouth of the watercourse\" the correct relationship. [Answer]: (tobol (tobyl) river", "relation": "mouth of the watercourse", "object": "irtysh river"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Analyze the text in context and mention any relevant relationships that exist between markerd (with <entity>) individuals or objects or entities. If there is no relationship between the two entities, please output "No relation". Text: Text: 'Just two years later , a young <head> Hans Christian Andersen </head> also wri... | {"subject": "hans christian andersen", "relation": "residence", "object": "helsingør"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Given the text, "Text: 'In <head> Quito </head> , demonstrated congregated on Shyris Avenue and Mayor <tail> Mauricio Rodas </tail> denounced the new taxes that were promoted by President Correa .'", identify the relationship between "quito" and "mauricio rodas". Classify the relationship into one of the following cate... | {"subject": "quito", "relation": "head_of_government", "object": "mauricio rodas"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Can we extract relations between the two entities from the text?
Text: 'The 7 O'Clock News was later axed in 2005 , while <head> 60 Seconds </head> departed screens with <tail> BBC Three </tail> .'
If any, classify the relation into the categories: [movement, developer, league, occupation, mouth of the watercourse, me... | {"subject": "60 seconds", "relation": "original network", "object": "bbc three"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Extract and classify the relationship between the two mentioned entities in the text.
<text>
['location of formation' means '', 'taxon rank' means 'level in a taxonomic hierarchy', 'league' means 'league in which team or player plays or has played in', 'performer' means 'actor, musician, band or other performer associ... | {"subject": "forza horizon", "relation": "developer", "object": "turn 10 studios"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Analyze the text in context and mention any relevant relationships that exist between markerd (with <entity>) individuals or objects or entities. If there is no relationship between the two entities, please output "No relation". Text: Text: 'He remained in the <tail> United States </tail> for a time , working as a rese... | {"subject": "house of representatives", "relation": "applies-to-jurisdiction", "object": "united states"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Identify the type of relationship between <entity1> and <entity2>, marked in the given text "Text: 'along Crum Creek in <tail> Delaware County </tail> to its mouth in Eastern <head> Pennsylvania </head> 's Delaware Valley carrying its owners quarried products to docks on the Delaware River tidewater until 1852 .'". Ple... | {"subject": "pennsylvania", "relation": "contains_administrative_territorial_entity", "object": "delaware county"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | ""oceanic"" and "white star line" are mentioned in the text: <text>. Can you identify and categorize their relation? Pick one from [located on terrain feature, screenwriter, said to be the same as, language of work or name, sports season of league or competition, has part, country, platform, mountain range, distributor... | {"subject": "\"oceanic\"", "relation": "operator", "object": "white star line"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Carefully read and analyze the given paragraph "Text: 'AGRICOLA ( AGRICultural OnLine Access ) is an online database created and maintained by the <tail> United States National Agricultural Library </tail> of the <head> United States Department of Agriculture </head> .'" and identify if there is any relationship betwee... | {"subject": "subject", "relation": "relation", "object": "object"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Can you extract a relation between the entities '"2010"' and '"deval patrick"' from the text 'Text: 'In <head> 2010 </head> , Ross failed to secure enough signatures to challenge the incumbent Governor <tail> Deval Patrick </tail> in the Democratic primary .''? If you can identify a relation, categorize it based on the... | {"subject": "2010", "relation": "successful_candidate", "object": "deval patrick"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Given the following context: Text: 'It was headed by <head> Alexander Radó </head> ( code name : DORA ) , a Hungarian émigré , Communist , and <tail> geographer </tail> .'. Identify the relations between entities and classify them into one of the following: [manufacturer, successful candidate, occupation, country, resi... | {"subject": "alexander radó", "relation": "field of work", "object": "geographer"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | "eurovision song contest 1988" and "gérard lenorman" are mentioned in the text: <text>. Can you identify and categorize their relation? Pick one from [mountain range, developer, composer, heritage designation, characters, located on terrain feature, sibling, league, manufacturer, nominated for, platform, participant, a... | {"subject": "eurovision song contest 1988", "relation": "participant", "object": "gérard lenorman"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Examine the given paragraph:
Text: 'Florance played Mavis Lipton in <tail> Tim Burstall </tail> 's thriller " <head> End Play </head> " ( 1976 ) .'
Can you identify the relationship between the entities <entity1> and <entity2>? Please choose which of the following categories this relationship falls under: [genre, loca... | {"subject": "end play", "relation": "director", "object": "tim burstall"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Extract the relation between <entity1> and <entity2> from the following text: <text>. Classify the relation into one of the following options: [religion: 'religion of a person, organization or religious building, or associated with this subject', genre: '', location: 'location of the item, physical object or event is w... | {"subject": "1975 spring offensive", "relation": "location", "object": "south vietnam"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | "jeff coleman" and "republican" are mentioned in the text: Text: '<head> Jeff Coleman </head> is a former <tail> Republican </tail> member of the Pennsylvania House of Representatives .'. Can you identify and categorize their relation? Pick one from [nominated for, followed by, member of political party, located in the... | {"subject": "jeff coleman", "relation": "member of political party", "object": "republican"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Given the following context: Text: 'They started filming for the show , " <head> Million Dollar Listing Los Angeles </head> " , and it aired on <tail> Bravo </tail> in August 2006 .'. Identify the relations between entities and classify them into one of the following: [field of work, occupant, successful candidate, man... | {"subject": "million dollar listing los angeles", "relation": "original network", "object": "bravo"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Analyze the provided content "Text: 'Tyler , Texas orthodontist Sherri Reuland read " <head> Lone Survivor </head> , " <tail> Marcus Luttrell </tail> 's account of Operation Red Wings , and was so moved by the story she recommended the book to four friends .'" and identify any conceivable connections between "lone surv... | {"subject": "lone survivor", "relation": "after a work by", "object": "marcus luttrell"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Generate the entity-relation triplet from the context. Text: 'Once recording finished , Avatar took part in Shiprocked 2016 , then toured the southern <tail> United States </tail> with <head> September Mourning </head> and Saint Diablo .'.
The relations are from [instrument: 'musical instrument that a person plays', g... | {"subject": "september mourning", "relation": "country-of-origin", "object": "united states"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Please read the following "<text>", identify and classify any connection between "art linson" and "american" from one of the following options: ['developer' means 'organisation or person that developed the item', 'instance-of' means 'that class of which this subject is a particular example and member (subject typically... | {"subject": "art linson", "relation": "country-of-citizenship", "object": "american"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Given the following context: Text: 'In the late 90s the group was active in a culture jamming group known as the <tail> Toronto </tail> Media Collective , profiled in <head> Naomi Klein </head> ’s book No Logo .'. Identify the relations between entities and classify them into one of the following: [operating_system, pa... | {"subject": "writing about the group) is associated with Toronto. This classification is based on the understanding that the work mentioned (writing the book) took place or was focused on Toronto. [Answer]: (naomi klein", "relation": "work_location", "object": "toronto"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Can you extract a relation between the entities '<entity1>' and '<entity2>' from the text 'Text: 'After going undrafted in the 1995 NFL Draft , Berger joined the newly formed Amsterdam Admirals of the <tail> World League of American Football </tail> ( later known as NFL Europe ) for the <head> 1995 season </head> .''? ... | {"subject": "1995 season", "relation": "sports season of league or competition", "object": "world league of american football"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Examine the given paragraph:
<text>
Can you identify the relationship between the entities "fright night" and "columbia pictures"? Please choose which of the following categories this relationship falls under: [work location, country, licensed to broadcast to, original network, record label, located in the administrat... | {"subject": "fright night", "relation": "distributor", "object": "columbia pictures"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Please classify relationships between the two entities (marked with <entity> and </entity>).
If the two entities have no relationships, please answer NA.
The set of relationships is as follows:[['followed by' means 'immediately following item in a series of which the subject is a part [if the subject has been replace... | {"subject": "daniel boone home", "relation": "heritage designation", "object": "national register of historic places"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Examining the given text 'Text: '<head> Blackout Improv </head> is an improvisational comedy theatre troupe in <tail> Minneapolis , Minnesota </tail> .'', can you identify any relationship between '"blackout improv"' and '"minneapolis, minnesota"'? If there is a relationship, classify it into one of the categories: [wi... | {"subject": "blackout improv", "relation": "location of formation", "object": "minneapolis, minnesota"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Determine the subcategories of the type of relationship between <entity1> and <entity2> that are described in this provided text: "Text: 'Susie is a female name that can be a diminutive form of Susan , Susanne , Suzanne , <head> Susannah </head> , Susanna or <tail> Susana </tail> .'". Use the following options: [applie... | {"subject": "susannah", "relation": "said to be the same as", "object": "susana"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Can we extract relations between the two entities from the text?
Text: 'Consequently , Stockport played their ' home ' friendly against Inverness Caledonian Thistle at <head> Wincham Park </head> , home of <tail> Witton Albion </tail> .'
If any, classify the relation into the categories: [located on terrain feature, p... | {"subject": "Wincham Park", "relation": "occupant", "object": "Witton Albion"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Given the text "Text: 'Additionally , <tail> Hervé Morin </tail> , the Minister of Defense , is mayor of <head> Épaignes </head> , and Éric Besson , Minister of Immigration and National Identity , is the mayor of Donzère .'", generate the relationships between "épaignes" and "hervé morin". The possible relationships ma... | {"subject": "épaignes", "relation": "head of government", "object": "hervé morin"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | In the following sentence, there are two entities "2010 mayoral election" and "celia wade-brown".
<text>
Please indentify and classify their relations into the predifined category set: [followed by: 'immediately following item in a series of which the subject is a part [if the subject has been replaced, e.g. political... | {"subject": "subject) in which \"Celia Wade-Brown\" emerged as the winner (object), making the relation \"successful candidate\". [Answer]: (2010 mayoral election", "relation": "successful candidate", "object": "celia wade-brown"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Analyze the provided content "Text: 'Khan joined <tail> Mikhail Fridman </tail> in establishing <head> LetterOne </head> , based in Luxembourg , for the purpose of investing proceeds of the proceeds from the TNK - BP sale in international projects .'" and identify any conceivable connections between "letterone" and "mi... | {"subject": "head), Mikhail Fridman as the owner (tail), and the type of relationship as \"owned by\". [Answer]: (letterone", "relation": "owned by", "object": "mikhail fridman"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Review the following text and describe the relation between the two entities "boris ord" and "organ":
Text: 'Originally a chorister at King 's College , Cambridge , he approached <head> Boris Ord </head> for <tail> organ </tail> lessons , but was referred to Hugh McLean .'
Choose from the following relationship cate... | {"subject": "boris ord", "relation": "instrument", "object": "organ"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Please classify relationships between the two entities (marked with <entity> and </entity>).
If the two entities have no relationships, please answer NA.
The set of relationships is as follows:[[operating system, owned by, architect, winner, occupant, place served by transport hub, located in the administrative terri... | {"subject": "2017 AFL Grand Final) was located at the Melbourne Cricket Ground. This matches the \"location\" relationship from the provided set, leading to the answer. [Answer]: (2017 afl grand final", "relation": "location", "object": "melbourne cricket ground"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Entity Relation Classification
[mouth of the watercourse: 'the body of water to which the watercourse drains', original network: 'network(s) the radio or television show was originally aired on, not including later re-runs or additional syndication', taxon rank: 'level in a taxonomic hierarchy', applies to jurisdictio... | {"subject": "nagananda", "relation": "language of work or name", "object": "sanskrit"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Please read the following "Text: '<head> Fred Cockerham </head> ( 3 November 1905 - July 8 , 1980 ) was a fiddle and <tail> banjo </tail> player of American folk music .'", identify and classify any connection between "fred cockerham" and "banjo" from one of the following options: ['field_of_work' means 'specialization... | {"subject": "fred cockerham", "relation": "instrument", "object": "banjo"} |
{
"type": "object",
"properties": {
"subject": {"type": "string"},
"relation": {"type": "string"},
"object": {"type": "string"}
},
"required": ["subject", "relation", "object"]
} | Text: 'The <head> Coquille River </head> starts in the Siskiyou National Forest and flows hundreds of miles through the Coquille Valley on its way to the <tail> Pacific Ocean </tail> .'
[subsidiary, licensed to broadcast to, occupant, sports season of league or competition, residence, mountain range, country of origin... | {"subject": "coquille river", "relation": "mouth of the watercourse", "object": "pacific ocean"} |
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