triple1 listlengths 3 3 | triple2 listlengths 3 3 | triple3 listlengths 3 3 | triple1_labels listlengths 3 3 | triple2_labels listlengths 3 3 | triple3_labels listlengths 3 3 | description stringlengths 9 19 | keep_triple bool 1 class | query_prompt stringlengths 3.25k 3.32k | query stringlengths 91 206 | possible_paths listlengths 3 264 | possible_path_labels listlengths 3 264 | source_index int64 5 912 | chosen_paths listlengths 3 241 | strength_prompt listlengths 1 3 | strength_response listlengths 1 3 | class_size listlengths 1 3 | unique_prompt listlengths 1 3 | unique_response listlengths 1 3 | topicality listlengths 1 3 | uniqueness listlengths 1 3 | strength listlengths 1 3 | max_strength int64 1 5 | max_uniqueness int64 1 3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q423327",
"P2175",
"Q12199"
] | [
"Q422654",
"P2175",
"Q12199"
] | [
"Q422654",
"P769",
"Q898407"
] | [
"enfuvirtide",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"significant drug interaction",
"venlafaxine"
] | Q12199__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You are trying create a query that elicits a connection between Concept A and Concept C, to see if the person being quizzed can guess concept B.
Your goal is to create a natural, human-readable question.
When needed, add a short descriptor to Concept A, especially when it is a niche entity.
Rules:
1. Leverage concept B to determine how to phrase the query.
eg: if concept B is a person, then formulate a query such that concept C is a property for a person. eg: "someone for whom the election was a significant event".
similarly, if concept B is an organization, using "an organization that has..."
if concept B is a chemical compound/medicine then use "a substance that is..."
2. For any concept C with a familial relation, i.e. child/mother/father, the concept should be interpreted as " has child <entity3>" or "has mother <entity 3>" or "has father <entity3>".
3. Do not reveal concept B in the query at all.
4. Avoid overly formal or mechanical phrasing.
5. Do not connect concept A and C directly in the wording.
---- EXAMPLES ----
Example 1:
Concept A: Vishwanath Pratap Singh
Concept B: Narendra Modi (person)
Concept C: (significant event, Bharatiya Janata Party campaign for Indian general election, 2014)
Query: What are different ways of connecting Vishwanath Pratap Singh and someone for whom the BJP campaign for the 2014 Indian general election, was a significant event?
Example 2:
Concept A: António Guterres
Concept B: Javier Pérez de Cuéllar (person)
Concept C: (position held, President of the Council of Ministers of Peru)
Query: What are different ways of connecting Antonio Guterres, secretary-general of the UN, and someone who is/has been the President of the council of ministers of Peru?
Example 3:
Concept A: Kimi Räikkönen
Concept B: Sebastian Vettel (person)
Concept C: ('member of sports team', 'Red Bull Racing')
Query: What are different ways of connecting Kimi Raikkonen, the Finnish racing driver and a sports person who was/is a part of the Red Bull Racing team?
Example 4:
Concept A: Jim Broadbent
Concept B: Saoirse Ronan (person)
Concept C: (nominated for, Academy Award for Best Supporting Actress)
Query: What are different ways of connecting Jim Broadbent, English actor, and someone who was nominated for the Academy Award for Best Supporting Actress?
Example 5:
Concept A: oxymetholone
Concept B: sodium ascorbate (substance)
Concept C: stereoisomer of, sodium erythorbate
Query: What are different ways of connecting oxymetholone, a chemical compound and a substance that is a stereoisomer of sodium erythorbate
Example 6:
Concept A: Christopher Nolan
Concept B: Emma Thomas (person)
Concept C: (child, Rory Nolan)
Query: What are different ways of connecting Christopher Nolan, the actor, and someone who is the parent of Rory Nolan?
---- TASK ----
Concept A: enfuvirtide
Concept B: saquinavir (substance)
Concept C: (saquinavir,venlafaxine,significant drug interaction)
Query:
| What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a substance that has a significant drug interaction with venlafaxine? | [
[
[
"Q423327",
"P3489",
"Q3679233"
],
[
"Q419890",
"P3489",
"Q3679233"
],
[
"Q419890",
"P769",
"Q898407"
]
],
[
[
"Q423327",
"P2175",
"Q18556697"
],
[
"Q422654",
"P2175",
"Q18556697"
... | [
[
[
"enfuvirtide",
"pregnancy category",
"Australian pregnancy category B2"
],
[
"(±)-flurbiprofen",
"pregnancy category",
"Australian pregnancy category B2"
],
[
"(±)-flurbiprofen",
"significant drug interaction",
"venlafaxine"
]
],
... | 5 | [
[
[
"enfuvirtide",
"pregnancy category",
"Australian pregnancy category B2"
],
[
"(±)-flurbiprofen",
"pregnancy category",
"Australian pregnancy category B2"
],
[
"(±)-flurbiprofen",
"significant drug interaction",
"venlafaxine"
]
],
... | [
"Goal:\nGiven a knowledge graph path consisting of multiple triples of the form (subject, predicate, object), estimate—FOR EACH TRIPLE—the number of members in the LARGER of two possible classes defined by the predicate.\n\nFormal Definitions (apply to each triple (s, p, o)):\nDefine TWO classes.\n\nClass A (Subjec... | [
"[\n {\n \"explanation\": \"Class A (subjects with IEDB Epitope ID 231721): IEDB Epitope IDs are unique identifiers for a single epitope entry, so typically only one entity – the specific peptide or protein – is linked to that ID. Estimated size ≈ 1. Class B (epitope IDs linked to enfuvirtide): a peptide drug c... | [
[
5,
5,
4
]
] | [
"Rubric: Unusualness / Typicality of Triples Relative to the Subject\n\nGoal:\nGiven a knowledge graph path consisting of multiple triples, classify how expected vs. unusual EACH triple is relative to what its subject is publicly known for.\n\nKey idea:\nUnusualness = distance from the subject’s core public identit... | [
"{\n \"explanation\": \"Enfuvirtide is primarily known as an HIV fusion inhibitor drug. The IEDB Epitope ID is a specialized database identifier for immune epitopes, which is not commonly mentioned in general descriptions of the drug, so it is classified as atypical (T3). Clarithromycin is best known as a macrolid... | [
[
3,
3,
2
]
] | [
3
] | [
5
] | 5 | 3 |
[
"Q23505",
"P40",
"Q207"
] | [
"Q190628",
"P40",
"Q207"
] | [
"Q190628",
"P39",
"Q7166256"
] | [
"George H. W. Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"position held",
"First Lady of the United States"
] | Q207__P40 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You are trying create a query that elicits a connection between Concept A and Concept C, to see if the person being quizzed can guess concept B.
Your goal is to create a natural, human-readable question.
When needed, add a short descriptor to Concept A, especially when it is a niche entity.
Rules:
1. Leverage concept B to determine how to phrase the query.
eg: if concept B is a person, then formulate a query such that concept C is a property for a person. eg: "someone for whom the election was a significant event".
similarly, if concept B is an organization, using "an organization that has..."
if concept B is a chemical compound/medicine then use "a substance that is..."
2. For any concept C with a familial relation, i.e. child/mother/father, the concept should be interpreted as " has child <entity3>" or "has mother <entity 3>" or "has father <entity3>".
3. Do not reveal concept B in the query at all.
4. Avoid overly formal or mechanical phrasing.
5. Do not connect concept A and C directly in the wording.
---- EXAMPLES ----
Example 1:
Concept A: Vishwanath Pratap Singh
Concept B: Narendra Modi (person)
Concept C: (significant event, Bharatiya Janata Party campaign for Indian general election, 2014)
Query: What are different ways of connecting Vishwanath Pratap Singh and someone for whom the BJP campaign for the 2014 Indian general election, was a significant event?
Example 2:
Concept A: António Guterres
Concept B: Javier Pérez de Cuéllar (person)
Concept C: (position held, President of the Council of Ministers of Peru)
Query: What are different ways of connecting Antonio Guterres, secretary-general of the UN, and someone who is/has been the President of the council of ministers of Peru?
Example 3:
Concept A: Kimi Räikkönen
Concept B: Sebastian Vettel (person)
Concept C: ('member of sports team', 'Red Bull Racing')
Query: What are different ways of connecting Kimi Raikkonen, the Finnish racing driver and a sports person who was/is a part of the Red Bull Racing team?
Example 4:
Concept A: Jim Broadbent
Concept B: Saoirse Ronan (person)
Concept C: (nominated for, Academy Award for Best Supporting Actress)
Query: What are different ways of connecting Jim Broadbent, English actor, and someone who was nominated for the Academy Award for Best Supporting Actress?
Example 5:
Concept A: oxymetholone
Concept B: sodium ascorbate (substance)
Concept C: stereoisomer of, sodium erythorbate
Query: What are different ways of connecting oxymetholone, a chemical compound and a substance that is a stereoisomer of sodium erythorbate
Example 6:
Concept A: Christopher Nolan
Concept B: Emma Thomas (person)
Concept C: (child, Rory Nolan)
Query: What are different ways of connecting Christopher Nolan, the actor, and someone who is the parent of Rory Nolan?
---- TASK ----
Concept A: George H. W. Bush
Concept B: Barbara Bush (person)
Concept C: (Barbara Bush,First Lady of the United States,position held)
Query:
| What are different ways of connecting George H. W. Bush, the 41st President of the United States, and someone who held the position of First Lady of the United States? | [
[
[
"Q23505",
"P106",
"Q82955"
],
[
"Q152019",
"P106",
"Q82955"
],
[
"Q152019",
"P39",
"Q7166256"
]
],
[
[
"Q23505",
"P106",
"Q82955"
],
[
"Q158707",
"P106",
"Q82955"
],
[
... | [
[
[
"George H. W. Bush",
"occupation",
"politician"
],
[
"Laura Bush",
"occupation",
"politician"
],
[
"Laura Bush",
"position held",
"First Lady of the United States"
]
],
[
[
"George H. W. Bush",
"occupation",
... | 8 | [
[
[
"George H. W. Bush",
"occupation",
"politician"
],
[
"Laura Bush",
"occupation",
"politician"
],
[
"Laura Bush",
"position held",
"First Lady of the United States"
]
],
[
[
"George H. W. Bush",
"occupation",
... | [
"Goal:\nGiven a knowledge graph path consisting of multiple triples of the form (subject, predicate, object), estimate—FOR EACH TRIPLE—the number of members in the LARGER of two possible classes defined by the predicate.\n\nFormal Definitions (apply to each triple (s, p, o)):\nDefine TWO classes.\n\nClass A (Subjec... | [
"[\n {\n \"explanation\": \"Class A (subject‑variation) asks how many different people have artist files at the Smithsonian American Art and Portrait Gallery Library. The library is a major repository for American artists and holds files for thousands of individuals; a reasonable estimate is about ten thousand ... | [
[
1,
1,
4
]
] | [
"Rubric: Unusualness / Typicality of Triples Relative to the Subject\n\nGoal:\nGiven a knowledge graph path consisting of multiple triples, classify how expected vs. unusual EACH triple is relative to what its subject is publicly known for.\n\nKey idea:\nUnusualness = distance from the subject’s core public identit... | [
"{\n \"explanation\": \"George H. W. Bush is primarily known as a former U.S. President and politician; the fact that his artist files are stored at the Smithsonian American Art and Portrait Gallery Library is not a core or commonly highlighted aspect of his public identity, making it atypical (T3). Barbara Bush i... | [
[
3,
3,
1
]
] | [
3
] | [
1
] | 1 | 3 |
[
"Q47703",
"P161",
"Q960676"
] | [
"Q47703",
"P161",
"Q786720"
] | [
"Q786720",
"P19",
"Q18419"
] | [
"The Godfather",
"cast member",
"Joe Spinell"
] | [
"The Godfather",
"cast member",
"Richard Bright"
] | [
"Richard Bright",
"place of birth",
"Brooklyn"
] | Q47703__P161 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Joe Spinell, the American actor, and someone who was born in (...TRUNCATED) | [[["Q47703","P1411","Q102427"],["Q957347","P1411","Q102427"],["Q957347","P19","Q18419"]],[["Q47703",(...TRUNCATED) | [[["The Godfather","nominated for","Academy Award for Best Picture"],["Jerry Wald","nominated for","(...TRUNCATED) | 10 | [[["The Godfather","nominated for","Academy Award for Best Picture"],["James L. Brooks","nominated f(...TRUNCATED) | ["Goal:\nGiven a knowledge graph path consisting of multiple triples of the form (subject, predicate(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subjects nominated for the Academy Award for Best Actor): (...TRUNCATED) | [
[
3,
3,
1
]
] | ["Rubric: Unusualness / Typicality of Triples Relative to the Subject\n\nGoal:\nGiven a knowledge gr(...TRUNCATED) | ["{\n \"explanation\": \"The Godfather is a classic film; its nomination for Best Actor is a core a(...TRUNCATED) | [
[
1,
1,
2
]
] | [
1
] | [
3
] | 3 | 1 |
[
"Q319392",
"P463",
"Q43267"
] | [
"Q2831",
"P463",
"Q43267"
] | [
"Q2831",
"P8693",
"Q74073658"
] | [
"Marlon Jackson",
"member of",
"The Jackson 5"
] | [
"Michael Jackson",
"member of",
"The Jackson 5"
] | [
"Michael Jackson",
"fandom",
"Michael Jackson fandom"
] | Q43267__P463 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Marlon Jackson, a member of the famous Jackson family, and so(...TRUNCATED) | [[["Q319392","P106","Q753110"],["Q2831","P106","Q753110"],["Q2831","P8693","Q74073658"]],[["Q319392"(...TRUNCATED) | [[["Marlon Jackson","occupation","songwriter"],["Q2831","occupation","songwriter"],["Q2831","fandom"(...TRUNCATED) | 15 | [[["Marlon Jackson","occupation","songwriter"],["Q2831","occupation","songwriter"],["Q2831","fandom"(...TRUNCATED) | ["Goal:\nGiven a knowledge graph path consisting of multiple triples of the form (subject, predicate(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subjects that are members of The Jackson 5) includes the f(...TRUNCATED) | [
[
5,
5,
5,
1
]
] | ["Rubric: Unusualness / Typicality of Triples Relative to the Subject\n\nGoal:\nGiven a knowledge gr(...TRUNCATED) | ["{\n \"explanation\": \"Marlon Jackson is publicly known as a singer and a member of the Jackson 5(...TRUNCATED) | [
[
1,
1,
2,
2
]
] | [
2
] | [
5
] | 5 | 2 |
[
"Q484048",
"P58",
"Q217324"
] | [
"Q484048",
"P58",
"Q1915951"
] | [
"Q1915951",
"P1411",
"Q1377745"
] | [
"Amélie",
"screenwriter",
"Jean-Pierre Jeunet"
] | [
"Amélie",
"screenwriter",
"Guillaume Laurant"
] | [
"Guillaume Laurant",
"nominated for",
"European Film Award for Best Animated Feature Film"
] | Q484048__P58 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Jean-Pierre Jeunet, the French film director, and someone who(...TRUNCATED) | [[["Q484048","P31","Q11424"],["Q112235054","P31","Q11424"],["Q112235054","P1411","Q1377745"]],[["Q48(...TRUNCATED) | [[["Amélie","instance of","film"],["My Neighbors' Neighbors","instance of","film"],["My Neighbors' (...TRUNCATED) | 20 | [[["Amélie","instance of","film"],["Where Is Anne Frank","instance of","film"],["Where Is Anne Fran(...TRUNCATED) | ["Goal:\nGiven a knowledge graph path consisting of multiple triples of the form (subject, predicate(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subject‑variation) consists of every film that has the J(...TRUNCATED) | [
[
3,
3,
4
]
] | ["Rubric: Unusualness / Typicality of Triples Relative to the Subject\n\nGoal:\nGiven a knowledge gr(...TRUNCATED) | ["{\n \"explanation\": \"Amélie is a French romantic comedy film; a rating of \\\"free from 6 year(...TRUNCATED) | [
[
1,
1,
1
]
] | [
1
] | [
3
] | 3 | 1 |
[
"Q381845",
"P39",
"Q62070236"
] | [
"Q16196017",
"P39",
"Q62070236"
] | [
"Q16196017",
"P69",
"Q1126189"
] | [
"Lee Jong-wook",
"position held",
"Director-General of the World Health Organization"
] | [
"Tedros Adhanom Ghebreyesus",
"position held",
"Director-General of the World Health Organization"
] | [
"Tedros Adhanom Ghebreyesus",
"educated at",
"London School of Hygiene & Tropical Medicine"
] | Q62070236__P39 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Lee Jong-wook, a prominent figure in global health, and someo(...TRUNCATED) | [[["Q381845","P39","Q62070236"],["Q62070236","P2389","Q7817"],["Q7817","P1037","Q16196017"],["Q16196(...TRUNCATED) | [[["Lee Jong-wook","position held","Director-General of the World Health Organization"],["Director-G(...TRUNCATED) | 22 | [[["Lee Jong-wook","position held","Director-General of the World Health Organization"],["Director-G(...TRUNCATED) | ["Goal:\nGiven a knowledge graph path consisting of multiple triples of the form (subject, predicate(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subjects employed by United Nations): the UN employs tens (...TRUNCATED) | [
[
1,
4,
5,
1
]
] | ["Rubric: Unusualness / Typicality of Triples Relative to the Subject\n\nGoal:\nGiven a knowledge gr(...TRUNCATED) | ["{\n \"explanation\": \"Lee Jong-wook is best known as a WHO director-general; stating his employe(...TRUNCATED) | [
[
2,
1,
1,
2
]
] | [
2
] | [
1
] | 1 | 2 |
[
"Q425137",
"P2175",
"Q8277"
] | [
"Q73972",
"P2175",
"Q8277"
] | [
"Q73972",
"P2868",
"Q35456"
] | [
"fingolimod",
"medical condition treated",
"multiple sclerosis"
] | [
"hydroxocobalamin",
"medical condition treated",
"multiple sclerosis"
] | [
"hydroxocobalamin",
"subject has role",
"essential medicine"
] | Q8277__P2175 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting fingolimod, a medication used to treat multiple sclerosis, an(...TRUNCATED) | [[["Q425137","P366","Q12140"],["Q411377","P366","Q12140"],["Q411377","P2868","Q35456"]],[["Q425137",(...TRUNCATED) | [[["fingolimod","has use","medication"],["linezolid","has use","medication"],["linezolid","subject h(...TRUNCATED) | 25 | [[["fingolimod","has use","medication"],["rac-salbutamol","has use","medication"],["rac-salbutamol",(...TRUNCATED) | ["Goal:\nGiven a knowledge graph path consisting of multiple triples of the form (subject, predicate(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subjects that have a significant drug interaction with (RS(...TRUNCATED) | [
[
4,
4,
4,
3
],
[
4,
3,
4,
3
]
] | ["Rubric: Unusualness / Typicality of Triples Relative to the Subject\n\nGoal:\nGiven a knowledge gr(...TRUNCATED) | ["{\n \"explanation\": \"For each triple, the subject is a drug whose core public identity is its t(...TRUNCATED) | [
[
1,
1,
1,
1
],
[
1,
1,
1,
1
]
] | [
1,
1
] | [
4,
3
] | 4 | 1 |
[
"Q1078392",
"P2175",
"Q41861"
] | [
"Q5613542",
"P2175",
"Q41861"
] | [
"Q5613542",
"P129",
"Q4734892"
] | [
"indapamide",
"medical condition treated",
"arterial hypertension"
] | [
"guanabenz",
"medical condition treated",
"arterial hypertension"
] | [
"guanabenz",
"physically interacts with",
"Adrenoceptor alpha 2A"
] | Q41861__P2175 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting indapamide, a medication used to treat high blood pressure, a(...TRUNCATED) | [[["Q1078392","P3489","Q28123616"],["Q577377","P3489","Q28123616"],["Q577377","P129","Q4734892"]],[[(...TRUNCATED) | [[["indapamide","pregnancy category","US pregnancy category B"],["brimonidine","pregnancy category"(...TRUNCATED) | 42 | [[["indapamide","pregnancy category","US pregnancy category B"],["guanfacine","pregnancy category",(...TRUNCATED) | ["Goal:\nGiven a knowledge graph path consisting of multiple triples of the form (subject, predicate(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subjects that have a significant drug interaction with sul(...TRUNCATED) | [
[
4,
4,
4,
4
],
[
4,
4,
4,
4
]
] | ["Rubric: Unusualness / Typicality of Triples Relative to the Subject\n\nGoal:\nGiven a knowledge gr(...TRUNCATED) | ["{\n \"explanation\": \"Each triple links a drug or hormone to a pharmacological interaction that (...TRUNCATED) | [
[
1,
1,
1,
1
],
[
1,
1,
1,
1
]
] | [
1,
1
] | [
4,
4
] | 4 | 1 |
[
"Q1124",
"P39",
"Q11696"
] | [
"Q6279",
"P39",
"Q11696"
] | [
"Q6279",
"P166",
"Q23058092"
] | [
"Bill Clinton",
"position held",
"President of the United States"
] | [
"Joe Biden",
"position held",
"President of the United States"
] | [
"Joe Biden",
"award received",
"Grand Cross with collar of the Order of Vytautas the Great"
] | Q11696__P39 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Bill Clinton, the former President of the United States, and (...TRUNCATED) | [[["Q1124","P166","Q2028158"],["Q153167","P166","Q2028158"],["Q153167","P166","Q23058092"]],[["Q1124(...TRUNCATED) | [[["Bill Clinton","award received","St. George's Order of Victory"],["Valdas Adamkus","award receive(...TRUNCATED) | 44 | [[["Bill Clinton","award received","St. George's Order of Victory"],["Toomas Hendrik Ilves","award r(...TRUNCATED) | ["Goal:\nGiven a knowledge graph path consisting of multiple triples of the form (subject, predicate(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subject‑variation) asks: who are the people whose occupa(...TRUNCATED) | [
[
1,
1,
4
]
] | ["Rubric: Unusualness / Typicality of Triples Relative to the Subject\n\nGoal:\nGiven a knowledge gr(...TRUNCATED) | ["{\n \"explanation\": \"Bill Clinton is publicly known as a former US President and politician; th(...TRUNCATED) | [
[
2,
2,
2
]
] | [
2
] | [
1
] | 1 | 2 |
[
"Q413879",
"P2175",
"Q1477"
] | [
"Q420305",
"P2175",
"Q1477"
] | [
"Q420305",
"P2868",
"Q1809112"
] | [
"golimumab",
"medical condition treated",
"ulcerative colitis"
] | [
"ustekinumab",
"medical condition treated",
"ulcerative colitis"
] | [
"ustekinumab",
"subject has role",
"dermatologic drug"
] | Q1477__P2175 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting golimumab, a medication used for treating autoimmune conditio(...TRUNCATED) | [[["Q413879","P2175","Q1274464"],["Q422232","P2175","Q1274464"],["Q422232","P2868","Q1809112"]],[["Q(...TRUNCATED) | [[["golimumab","medical condition treated","polyarthritis"],["methotrexate","medical condition treat(...TRUNCATED) | 54 | [[["golimumab","medical condition treated","polyarthritis"],["infliximab","medical condition treated(...TRUNCATED) | ["Goal:\nGiven a knowledge graph path consisting of multiple triples of the form (subject, predicate(...TRUNCATED) | ["[\n {\n \"explanation\": \"Class A (subjects that have the role 'immunologic factor'): many bi(...TRUNCATED) | [
[
3,
3,
3
]
] | ["Rubric: Unusualness / Typicality of Triples Relative to the Subject\n\nGoal:\nGiven a knowledge gr(...TRUNCATED) | ["{\n \"explanation\": \"Golimumab is publicly known as a biologic anti‑TNF drug used for rheumat(...TRUNCATED) | [
[
1,
1,
2
]
] | [
1
] | [
3
] | 3 | 1 |
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