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listlengths
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description
stringclasses
10 values
keep_triple
bool
1 class
query_prompt
stringclasses
10 values
query
stringclasses
10 values
entity_a
stringclasses
10 values
entity_b
stringclasses
10 values
rel_b
stringclasses
8 values
prompt
stringclasses
10 values
raw_responses
stringclasses
10 values
[ "Q421274", "P2175", "Q8277" ]
[ "Q414030", "P2175", "Q8277" ]
[ "Q414030", "P8026", "Q83284667" ]
[ "dantrolene", "medical condition treated", "multiple sclerosis" ]
[ "cladribine", "medical condition treated", "multiple sclerosis" ]
[ "cladribine", "LiverTox likelihood score", "LiverTox toxicity likelihood category E" ]
Q8277__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...
What are different ways of connecting dantrolene, a medication used to treat muscle spasticity, and a substance that has a LiverTox toxicity likelihood category of E?
dantrolene
LiverTox toxicity likelihood category E
LiverTox likelihood score
Query: What are different ways of connecting dantrolene, a medication used to treat muscle spasticity, and a substance that has a LiverTox toxicity likelihood category of E? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"dantrolene\",\n \"treats\",\n \"muscle spasticity\"\n ],\n [\n \"muscle spasticity\",\n \"treated by\",\n \"baclofen\"\n ],\n [\n \"baclofen\",\n \"LiverTox likelihood score\",\n \"Live...
[ "Q107809789", "P58", "Q104776463" ]
[ "Q1904757", "P58", "Q104776463" ]
[ "Q104776463", "P106", "Q2526255" ]
[ "Job Römer", "screenwriter", "The Expedition of the Family Fox" ]
[ "Nienke Römer", "screenwriter", "The Expedition of the Family Fox" ]
[ "The Expedition of the Family Fox", "occupation", "film director" ]
Q104776463__P58
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...
What are different ways of connecting The Expedition of the Family Fox, a notable film, and someone who is a film director?
The Expedition of the Family Fox
film director
occupation
Query: What are different ways of connecting The Expedition of the Family Fox, a notable film, and someone who is a film director? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continu...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"The Expedition of the Family Fox\", \"director\", \"Peter Weir\"],\n [\"Peter Weir\", \"occupation\", \"film director\"]\n ],\n \"2\": [\n [\"The Expedition of the Family Fox\", \"screenwriter\", \"Paul Schrader\"],\n [\"Paul Schrader...
[ "Q15526569", "P54", "Q7080909" ]
[ "Q52715014", "P54", "Q7080909" ]
[ "Q52715014", "P69", "Q761534" ]
[ "Lamaar Thomas", "member of sports team", "Ohio State Buckeyes football" ]
[ "Justin Fields", "member of sports team", "Ohio State Buckeyes football" ]
[ "Justin Fields", "educated at", "University of Georgia" ]
Q7080909__P54
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...
What are different ways of connecting Lamaar Thomas, an American football player, and someone who was educated at the University of Georgia?
Lamaar Thomas
University of Georgia
educated at
Query: What are different ways of connecting Lamaar Thomas, an American football player, and someone who was educated at the University of Georgia? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) ...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n {\n \"head\": \"Lamaar Thomas\",\n \"relationship\": \"teammate\",\n \"tail\": \"Champ Bailey\"\n },\n {\n \"head\": \"Champ Bailey\",\n \"relationship\": \"educated at\",\n \"tail\": \"University of Georgia\"\n ...
[ "Q10266157", "P57", "Q113687947" ]
[ "Q10266157", "P57", "Q9601891" ]
[ "Q9601891", "P19", "Q174" ]
[ "Didi, the Goofy Cupid", "director", "Paulo Aragão" ]
[ "Didi, the Goofy Cupid", "director", "Alexandre Boury" ]
[ "Alexandre Boury", "place of birth", "São Paulo" ]
Q10266157__P57
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...
What are different ways of connecting Didi, the Goofy Cupid, and someone who was born in São Paulo?
Didi, the Goofy Cupid
São Paulo
place of birth
Query: What are different ways of connecting Didi, the Goofy Cupid, and someone who was born in São Paulo? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begins wi...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n {\n \"head\": \"Didi, the Goofy Cupid\",\n \"relationship\": \"cast member\",\n \"tail\": \"Helen Ganzarolli\"\n },\n {\n \"head\": \"Helen Ganzarolli\",\n \"relationship\": \"place of birth\",\n \"tail\": \"S\u0...
[ "Q873", "P166", "Q292044" ]
[ "Q36949", "P166", "Q292044" ]
[ "Q36949", "P136", "Q188473" ]
[ "Meryl Streep", "award received", "AFI Life Achievement Award" ]
[ "Robert De Niro", "award received", "AFI Life Achievement Award" ]
[ "Robert De Niro", "genre", "action film" ]
Q292044__P166
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...
What are different ways of connecting Meryl Streep, the acclaimed actress, and someone who is known for their work in the action film genre?
Meryl Streep
action film
genre
Query: What are different ways of connecting Meryl Streep, the acclaimed actress, and someone who is known for their work in the action film genre? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) ...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Meryl Streep\", \"acted in\", \"The River Wild\"],\n [\"The River Wild\", \"genre\", \"action film\"]\n ],\n \"2\": [\n [\"Meryl Streep\", \"acted in\", \"Death Becomes Her\"],\n [\"Death Becomes Her\", \"co-starred with\", \"Bruce Wi...
[ "Q12745374", "P463", "Q23471" ]
[ "Q526120", "P463", "Q23471" ]
[ "Q526120", "P106", "Q177220" ]
[ "Hella", "member of", "Lordi" ]
[ "Leena Peisa", "member of", "Lordi" ]
[ "Leena Peisa", "occupation", "singer" ]
Q23471__P463
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...
What are different ways of connecting Hella, a notable figure, and someone who is known for their work as a singer?
Hella
singer
occupation
Query: What are different ways of connecting Hella, a notable figure, and someone who is known for their work as a singer? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chai...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Hella\", \"band member\", \"Zach Hill\"],\n [\"Zach Hill\", \"collaborator\", \"Bj\u00f6rk\"],\n [\"Bj\u00f6rk\", \"occupation\", \"singer\"]\n ],\n \"2\": [\n [\"Hella\", \"record label\", \"Ipecac Recordings\"],\n [\"Ipecac Recor...
[ "Q2744", "P161", "Q1086977" ]
[ "Q2744", "P161", "Q229271" ]
[ "Q229271", "P1411", "Q106301" ]
[ "The X-Files", "cast member", "Christopher Stanley" ]
[ "The X-Files", "cast member", "Lily Tomlin" ]
[ "Lily Tomlin", "nominated for", "Academy Award for Best Supporting Actress" ]
Q2744__P161
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...
What are different ways of connecting Christopher Stanley, an actor, and someone who was nominated for the Academy Award for Best Supporting Actress?
Christopher Stanley
Academy Award for Best Supporting Actress
nominated for
Query: What are different ways of connecting Christopher Stanley, an actor, and someone who was nominated for the Academy Award for Best Supporting Actress? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationshi...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Christopher Stanley\", \"cast member\", \"Zero Dark Thirty\"],\n [\"Zero Dark Thirty\", \"cast member\", \"Jessica Chastain\"],\n [\"Jessica Chastain\", \"nominated for\", \"Academy Award for Best Supporting Actress\"]\n ],\n \"2\": [\n ...
[ "Q31202708", "P58", "Q28857169" ]
[ "Q31202708", "P58", "Q337658" ]
[ "Q337658", "P166", "Q41417" ]
[ "Top Gun: Maverick", "screenwriter", "Justin Marks" ]
[ "Top Gun: Maverick", "screenwriter", "Christopher McQuarrie" ]
[ "Christopher McQuarrie", "award received", "Academy Award for Best Writing, Original Screenplay" ]
Q31202708__P58
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...
What are different ways of connecting Justin Marks, a filmmaker, and someone who has received the Academy Award for Best Writing, Original Screenplay?
Justin Marks
Academy Award for Best Writing, Original Screenplay
award received
Query: What are different ways of connecting Justin Marks, a filmmaker, and someone who has received the Academy Award for Best Writing, Original Screenplay? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationsh...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Justin Marks\",\n \"screenwriter\",\n \"Top Gun: Maverick\"\n ],\n [\n \"Top Gun: Maverick\",\n \"screenwriter\",\n \"Christopher McQuarrie\"\n ],\n [\n \"Christopher McQuarrie\",\n \"award ...
[ "Q2085290", "P40", "Q989" ]
[ "Q5371654", "P40", "Q989" ]
[ "Q5371654", "P106", "Q242468" ]
[ "Karol Wojtyła", "child", "John Paul II" ]
[ "Emilia Wojtyła", "child", "John Paul II" ]
[ "Emilia Wojtyła", "occupation", "tailor" ]
Q989__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...
What are different ways of connecting Karol Wojtyła, the influential figure in the Catholic Church, and someone who worked as a tailor?
Karol Wojtyła
tailor
occupation
Query: What are different ways of connecting Karol Wojtyła, the influential figure in the Catholic Church, and someone who worked as a tailor? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) formi...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Karol Wojty\u0142a\",\n \"mentored by\",\n \"Jan Tyranowski\"\n ],\n [\n \"Jan Tyranowski\",\n \"occupation\",\n \"tailor\"\n ]\n ],\n \"2\": [\n [\n \"Karol Wojty\u0142a\",\n \"father\",\...
[ "Q104898484", "P58", "Q112556102" ]
[ "Q104898484", "P58", "Q89448737" ]
[ "Q89448737", "P101", "Q11163999" ]
[ "Hungry Bear Tales", "screenwriter", "Milada Těšitelová" ]
[ "Hungry Bear Tales", "screenwriter", "Tomáš Končinský" ]
[ "Tomáš Končinský", "field of work", "children's and youth literature" ]
Q104898484__P58
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...
What are different ways of connecting Milada Těšitelová, a notable figure in literature, and someone who has worked in the field of children's and youth literature?
Milada Těšitelová
children's and youth literature
field of work
Query: What are different ways of connecting Milada Těšitelová, a notable figure in literature, and someone who has worked in the field of children's and youth literature? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (he...
{"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Milada T\u011b\u0161itelov\u00e1\", \"wrote screenplay\", \"Kdyby rad\u0161i ho\u0159elo\"],\n [\"Kdyby rad\u0161i ho\u0159elo\", \"cast member\", \"Anna Pol\u00edvkov\u00e1\"],\n [\"Anna Pol\u00edvkov\u00e1\", \"acted in\", \"Modr\u00fd t...
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