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 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 | index int64 540 549 | raw_responses stringclasses 10
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q155472",
"P2175",
"Q41861"
] | [
"Q6827783",
"P2175",
"Q41861"
] | [
"Q6827783",
"P2868",
"Q50430502"
] | [
"valsartan",
"medical condition treated",
"arterial hypertension"
] | [
"mibefradil",
"medical condition treated",
"arterial hypertension"
] | [
"mibefradil",
"subject has role",
"cytochrome P-450 CYP1A2 Inhibitors"
] | Q41861__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 valsartan, a medication used to treat high blood pressure, and a substance that has a role as a cytochrome P-450 CYP1A2 inhibitor? | valsartan | cytochrome P-450 CYP1A2 Inhibitors | subject has role | Query: What are different ways of connecting valsartan, a medication used to treat high blood pressure, and a substance that has a role as a cytochrome P-450 CYP1A2 inhibitor?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples... | 540 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"valsartan\",\n \"interacts with\",\n \"ciprofloxacin\"\n ],\n [\n \"ciprofloxacin\",\n \"subject has role\",\n \"cytochrome P-450 CYP1A2 Inhibitors\"\n ]\n ],\n \"2\": [\n [\n \"valsartan\",\n \"interacts with\"... |
[
"Q1894004",
"P39",
"Q62070236"
] | [
"Q491211",
"P39",
"Q62070236"
] | [
"Q491211",
"P27",
"Q34"
] | [
"Marcolino Gomes Candau",
"position held",
"Director-General of the World Health Organization"
] | [
"Anders Nordström",
"position held",
"Director-General of the World Health Organization"
] | [
"Anders Nordström",
"country of citizenship",
"Sweden"
] | Q62070236__P39 | 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 Marcolino Gomes Candau, a notable figure in public health, and someone who is a citizen of Sweden? | Marcolino Gomes Candau | Sweden | country of citizenship | Query: What are different ways of connecting Marcolino Gomes Candau, a notable figure in public health, and someone who is a citizen of Sweden?
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) form... | 541 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Marcolino Gomes Candau\", \"employer\", \"World Health Organization\"],\n [\"Anders Nordstr\u00f6m\", \"employer\", \"World Health Organization\"],\n [\"Anders Nordstr\u00f6m\", \"country of citizenship\", \"Sweden\"]\n ],\n \"2\": [\n [\"Marcolino Gomes Ca... |
[
"Q233992",
"P39",
"Q14211"
] | [
"Q294662",
"P39",
"Q14211"
] | [
"Q294662",
"P40",
"Q5078440"
] | [
"Spencer Perceval",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Charles Grey, 2nd Earl Grey",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Charles Grey, 2nd Earl Grey",
"child",
"Charles Grey"
] | Q14211__P39 | 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 Spencer Perceval, the British Prime Minister, and someone who is the parent of Charles Grey, 2nd Earl Grey? | Spencer Perceval | Charles Grey | child | Query: What are different ways of connecting Spencer Perceval, the British Prime Minister, and someone who is the parent of Charles Grey, 2nd Earl Grey?
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, t... | 542 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Spencer Perceval\",\n \"appointed by\",\n \"George III\"\n ],\n [\n \"George III\",\n \"ennobled\",\n \"Charles Grey, 1st Earl Grey\"\n ],\n [\n \"Charles Grey, 1st Earl Grey\",\n \"child\",\n \"Charles Grey\... |
[
"Q8007",
"P39",
"Q11696"
] | [
"Q23505",
"P39",
"Q11696"
] | [
"Q23505",
"P166",
"Q974736"
] | [
"Franklin Delano Roosevelt",
"position held",
"President of the United States"
] | [
"George H. W. Bush",
"position held",
"President of the United States"
] | [
"George H. W. Bush",
"award received",
"Osgar"
] | Q11696__P39 | 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 Franklin Delano Roosevelt, the 32nd President of the United States, and someone who has received the Osgar award? | Franklin Delano Roosevelt | Osgar | award received | Query: What are different ways of connecting Franklin Delano Roosevelt, the 32nd President of the United States, and someone who has received the Osgar award?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relations... | 543 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Franklin Delano Roosevelt\", \"birthplace\", \"New York\"],\n [\"New York\", \"home venue of\", \"New York Cosmos\"],\n [\"New York Cosmos\", \"player\", \"Franz Beckenbauer\"],\n [\"Franz Beckenbauer\", \"award received\", \"Osgar\"]\n ],\n \"2\": [\n [... |
[
"Q3822815",
"P2175",
"Q12125"
] | [
"Q424551",
"P2175",
"Q12125"
] | [
"Q424551",
"P3364",
"Q417003"
] | [
"zinc gluconate",
"medical condition treated",
"common cold"
] | [
"sodium ascorbate",
"medical condition treated",
"common cold"
] | [
"sodium ascorbate",
"stereoisomer of",
"sodium erythorbate"
] | Q12125__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 zinc gluconate, a chemical compound, and a substance that is a stereoisomer of sodium erythorbate? | zinc gluconate | sodium erythorbate | stereoisomer of | Query: What are different ways of connecting zinc gluconate, a chemical compound, and a substance that is a stereoisomer of sodium erythorbate?
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) form... | 544 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"zinc gluconate\",\n \"treats\",\n \"common cold\"\n ],\n [\n \"sodium ascorbate\",\n \"treats\",\n \"common cold\"\n ],\n [\n \"sodium ascorbate\",\n \"stereoisomer of\",\n \"sodium erythorbate\"\n ]\n ],... |
[
"Q104054241",
"P57",
"Q4497038"
] | [
"Q104054241",
"P57",
"Q2088028"
] | [
"Q2088028",
"P19",
"Q6106"
] | [
"Prime Target",
"director",
"David Heavener"
] | [
"Prime Target",
"director",
"Phillip J. Roth"
] | [
"Phillip J. Roth",
"place of birth",
"Portland"
] | Q104054241__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 Prime Target and someone who was born in Portland? | Prime Target | Portland | place of birth | Query: What are different ways of connecting Prime Target and someone who was born in Portland?
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 with one enti... | 545 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Prime Target\",\n \"cast member\",\n \"Yaphet Kotto\"\n ],\n [\n \"Yaphet Kotto\",\n \"cast member of\",\n \"The Running Man\"\n ],\n [\n \"The Running Man\",\n \"based on work by\",\n \"Stephen King\"\n ],... |
[
"Q3453761",
"P54",
"Q204862"
] | [
"Q6163645",
"P54",
"Q204862"
] | [
"Q6163645",
"P69",
"Q7353027"
] | [
"Ryan Cook",
"member of sports team",
"Dallas Cowboys"
] | [
"Jason Tucker",
"member of sports team",
"Dallas Cowboys"
] | [
"Jason Tucker",
"educated at",
"Robinson High School"
] | Q204862__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 Ryan Cook, a notable figure, and someone who was educated at Robinson High School? | Ryan Cook | Robinson High School | educated at | Query: What are different ways of connecting Ryan Cook, a notable figure, and someone who was educated at Robinson High School?
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... | 546 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Ryan Cook\",\n \"played for\",\n \"Minnesota Vikings\"\n ],\n [\n \"Brock Lesnar\",\n \"played for\",\n \"Minnesota Vikings\"\n ],\n [\n \"Brock Lesnar\",\n \"wrestled against\",\n \"Hulk Hogan\"\n ],\n ... |
[
"Q42047",
"P161",
"Q229319"
] | [
"Q42047",
"P161",
"Q441713"
] | [
"Q441713",
"P106",
"Q10800557"
] | [
"Goodfellas",
"cast member",
"Lorraine Bracco"
] | [
"Goodfellas",
"cast member",
"Catherine Scorsese"
] | [
"Catherine Scorsese",
"occupation",
"film actor"
] | Q42047__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 Lorraine Bracco, the American actress, and someone who is known for their work as a film actor? | Lorraine Bracco | film actor | occupation | Query: What are different ways of connecting Lorraine Bracco, the American actress, and someone who is known for their work as a film actor?
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... | 547 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Lorraine Bracco\",\n \"occupation\",\n \"film actor\"\n ]\n ],\n \"2\": [\n [\n \"Lorraine Bracco\",\n \"spouse\",\n \"Edward James Olmos\"\n ],\n [\n \"Edward James Olmos\",\n \"occupation\",\n \"film acto... |
[
"Q1001102",
"P58",
"Q3199956"
] | [
"Q1001102",
"P58",
"Q617562"
] | [
"Q617562",
"P19",
"Q750427"
] | [
"The Rat Savior",
"screenwriter",
"Krsto Papić"
] | [
"The Rat Savior",
"screenwriter",
"Ivo Brešan"
] | [
"Ivo Brešan",
"place of birth",
"Vodice"
] | Q1001102__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 Krsto Papić, a notable figure in film, and someone who was born in Vodice? | Krsto Papić | Vodice | place of birth | Query: What are different ways of connecting Krsto Papić, a notable figure in film, and someone who was born in Vodice?
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 t... | 548 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Krsto Papi\u0107\",\n \"directed\",\n \"Predstava Hamleta u Mrdu\u0161i Donjoj\"\n ],\n [\n \"Predstava Hamleta u Mrdu\u0161i Donjoj\",\n \"based on work by\",\n \"Ivo Bre\u0161an\"\n ],\n [\n \"Ivo Bre\u0161an\",\n ... |
[
"Q3294181",
"P54",
"Q213417"
] | [
"Q6767668",
"P54",
"Q213417"
] | [
"Q6767668",
"P69",
"Q1521725"
] | [
"Mark Melancon",
"member of sports team",
"New York Yankees"
] | [
"Mark Freeman",
"member of sports team",
"New York Yankees"
] | [
"Mark Freeman",
"educated at",
"Louisiana State University"
] | Q213417__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 Mark Melancon, the professional baseball player, and someone who was educated at Louisiana State University? | Mark Melancon | Louisiana State University | educated at | Query: What are different ways of connecting Mark Melancon, the professional baseball player, and someone who was educated at Louisiana State University?
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, ... | 549 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Mark Melancon\", \"played for\", \"Pittsburgh Pirates\"],\n [\"Paul Skenes\", \"played for\", \"Pittsburgh Pirates\"],\n [\"Paul Skenes\", \"educated at\", \"Louisiana State University\"]\n ],\n \"2\": [\n [\"Mark Melancon\", \"played for\", \"Houston Astro... |
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