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 10 16 | keep_triple bool 1
class | query_prompt stringlengths 3.24k 3.32k | query stringlengths 104 183 | entity_a stringlengths 5 33 | entity_b stringlengths 5 42 | rel_b stringclasses 10
values | prompt stringlengths 3.55k 3.66k | index int64 860 879 | raw_responses stringlengths 1.18k 6.9k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q61774149",
"P162",
"Q105103910"
] | [
"Q919992",
"P162",
"Q105103910"
] | [
"Q105103910",
"P69",
"Q14706355"
] | [
"Jeff Kirschenbaum",
"producer",
"The School for Good and Evil"
] | [
"Joe Roth",
"producer",
"The School for Good and Evil"
] | [
"The School for Good and Evil",
"educated at",
"Herricks High School"
] | Q105103910__P162 | 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 School for Good and Evil, a popular fantasy series, and someone who was educated at Herricks High School? | The School for Good and Evil | Herricks High School | educated at | Query: What are different ways of connecting The School for Good and Evil, a popular fantasy series, and someone who was educated at Herricks 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,... | 860 | {"final_response": "```json\n{\n \"1\": [\n [\"The School for Good and Evil\", \"published by\", \"HarperCollins\"],\n [\"HarperCollins\", \"published\", \"The Fuck-Up\"],\n [\"The Fuck-Up\", \"authored by\", \"Arthur Nersesian\"],\n [\"Arthur Nersesian\", \"educated at\", \"Herricks High School\"]\n ],\n... |
[
"Q310831",
"P39",
"Q11699"
] | [
"Q9582",
"P39",
"Q11699"
] | [
"Q9582",
"P166",
"Q219070"
] | [
"James S. Sherman",
"position held",
"Vice President of the United States"
] | [
"Gerald Ford",
"position held",
"Vice President of the United States"
] | [
"Gerald Ford",
"award received",
"Profile in Courage Award"
] | Q11699__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 James S. Sherman, a notable American politician, and someone who has received the Profile in Courage Award? | James S. Sherman | Profile in Courage Award | award received | Query: What are different ways of connecting James S. Sherman, a notable American politician, and someone who has received the Profile in Courage 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, relationship, t... | 861 | {"final_response": "```json\n{\n \"1\": [\n [\n \"James S. Sherman\",\n \"held office\",\n \"Vice President of the United States\"\n ],\n [\n \"George H. W. Bush\",\n \"held office\",\n \"Vice President of the United States\"\n ],\n [\n \"George H. W. Bush\",\n \"... |
[
"Q5263885",
"P2175",
"Q41861"
] | [
"Q592802",
"P2175",
"Q41861"
] | [
"Q592802",
"P3780",
"Q47521245"
] | [
"deserpidine",
"medical condition treated",
"arterial hypertension"
] | [
"benazepril",
"medical condition treated",
"arterial hypertension"
] | [
"benazepril",
"active ingredient in",
"Lotensin"
] | 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 deserpidine, a chemical compound, and a substance that is the active ingredient in Lotensin? | deserpidine | Lotensin | active ingredient in | Query: What are different ways of connecting deserpidine, a chemical compound, and a substance that is the active ingredient in Lotensin?
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 ... | 862 | {"final_response": "<answer>\n{\n \"1\": [\n [\"deserpidine\", \"treats\", \"hypertension\"],\n [\"hypertension\", \"treated by\", \"benazepril\"],\n [\"benazepril\", \"active ingredient in\", \"Lotensin\"]\n ],\n \"2\": [\n [\"deserpidine\", \"subclass of\", \"antihypertensive agent\"],\n [\"antihype... |
[
"Q33866",
"P39",
"Q11699"
] | [
"Q49216",
"P39",
"Q11699"
] | [
"Q49216",
"P106",
"Q11774156"
] | [
"Theodore Roosevelt",
"position held",
"Vice President of the United States"
] | [
"Walter Mondale",
"position held",
"Vice President of the United States"
] | [
"Walter Mondale",
"occupation",
"memoirist"
] | Q11699__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 Theodore Roosevelt, the 26th President of the United States, and someone who is known for their work as a memoirist? | Theodore Roosevelt | memoirist | occupation | Query: What are different ways of connecting Theodore Roosevelt, the 26th President of the United States, and someone who is known for their work as a memoirist?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relati... | 863 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Theodore Roosevelt\", \"uncle of\", \"Eleanor Roosevelt\"],\n [\"Eleanor Roosevelt\", \"occupation\", \"memoirist\"]\n ],\n \"2\": [\n [\"Theodore Roosevelt\", \"father of\", \"Alice Roosevelt Longworth\"],\n [\"Alice Roosevelt Longworth\", \"occupation\", ... |
[
"Q10287993",
"P58",
"Q10308102"
] | [
"Q10287993",
"P58",
"Q7810553"
] | [
"Q7810553",
"P7084",
"Q9693018"
] | [
"Gaijin: Roads to Freedom",
"screenwriter",
"Jorge Durán"
] | [
"Gaijin: Roads to Freedom",
"screenwriter",
"Tizuka Yamasaki"
] | [
"Tizuka Yamasaki",
"related category",
"Category:Films directed by Tizuka Yamasaki"
] | Q10287993__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 Jorge Durán, a filmmaker, and someone who has directed films that fall under a specific category related to their work? | Jorge Durán | Category:Films directed by Tizuka Yamasaki | related category | Query: What are different ways of connecting Jorge Durán, a filmmaker, and someone who has directed films that fall under a specific category related to their work?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, rel... | 864 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Jorge Dur\u00e1n\", \"screenwriter of\", \"Gaijin: Roads to Freedom\"],\n [\"Gaijin: Roads to Freedom\", \"directed by\", \"Tizuka Yamasaki\"],\n [\"Tizuka Yamasaki\", \"related category\", \"Category:Films directed by Tizuka Yamasaki\"]\n ],\n \"2\": [\n [... |
[
"Q7194603",
"P2175",
"Q11085"
] | [
"Q423308",
"P2175",
"Q11085"
] | [
"Q423308",
"P769",
"Q174259"
] | [
"pimavanserin",
"medical condition treated",
"Parkinson's disease"
] | [
"cabergoline",
"medical condition treated",
"Parkinson's disease"
] | [
"cabergoline",
"significant drug interaction",
"droperidol"
] | Q11085__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 pimavanserin, a medication used to treat certain psychiatric conditions, and a substance that has a significant drug interaction with droperidol? | pimavanserin | droperidol | significant drug interaction | Query: What are different ways of connecting pimavanserin, a medication used to treat certain psychiatric conditions, and a substance that has a significant drug interaction with droperidol?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of ... | 865 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"pimavanserin\",\n \"significant drug interaction\",\n \"droperidol\"\n ]\n ],\n \"2\": [\n [\n \"pimavanserin\",\n \"interacts with\",\n \"ketoconazole\"\n ],\n [\n \"ketoconazole\",\n \"significant drug interac... |
[
"Q18052210",
"P2293",
"Q11085"
] | [
"Q18053750",
"P2293",
"Q11085"
] | [
"Q18053750",
"P5572",
"Q66502809"
] | [
"ODAPH",
"genetic association",
"Parkinson's disease"
] | [
"SLC41A1",
"genetic association",
"Parkinson's disease"
] | [
"SLC41A1",
"expressed in",
"apex of heart"
] | Q11085__P2293 | 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 ODAPH, a condition related to heart function, and a substance that is expressed at the apex of the heart? | ODAPH | apex of heart | expressed in | Query: What are different ways of connecting ODAPH, a condition related to heart function, and a substance that is expressed at the apex of the heart?
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, tai... | 866 | {"final_response": "<answer>\n{\n \"1\": [\n [\"ODAPH\", \"instance of\", \"Gene\"],\n [\"MYH7\", \"instance of\", \"Gene\"],\n [\"MYH7\", \"expressed in\", \"apex of heart\"]\n ],\n \"2\": [\n [\"ODAPH\", \"found in taxon\", \"Homo sapiens\"],\n [\"TNNT2\", \"found in taxon\", \"Homo sapiens\"],\n ... |
[
"Q412443",
"P2175",
"Q11081"
] | [
"Q411887",
"P2175",
"Q11081"
] | [
"Q411887",
"P769",
"Q418139"
] | [
"risperidone",
"medical condition treated",
"Alzheimer's disease"
] | [
"rivastigmine",
"medical condition treated",
"Alzheimer's disease"
] | [
"rivastigmine",
"significant drug interaction",
"esmolol"
] | Q11081__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 risperidone, an antipsychotic medication, and a substance that has a significant drug interaction with esmolol? | risperidone | esmolol | significant drug interaction | Query: What are different ways of connecting risperidone, an antipsychotic medication, and a substance that has a significant drug interaction with esmolol?
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... | 867 | {"final_response": "<answer>\n{\n \"1\": [\n [\"risperidone\", \"interacts with\", \"amiodarone\"],\n [\"amiodarone\", \"significant drug interaction\", \"esmolol\"]\n ],\n \"2\": [\n [\"risperidone\", \"interacts with\", \"verapamil\"],\n [\"verapamil\", \"significant drug interaction\", \"esmolol\"]\n ... |
[
"Q2555060",
"P2175",
"Q12156"
] | [
"Q421072",
"P2175",
"Q12156"
] | [
"Q421072",
"P2868",
"Q427492"
] | [
"sulfadiazine",
"medical condition treated",
"malaria"
] | [
"pyrimethamine",
"medical condition treated",
"malaria"
] | [
"pyrimethamine",
"subject has role",
"enzyme inhibitor"
] | Q12156__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 sulfadiazine, a chemical compound, and a substance that acts as an enzyme inhibitor in a specific role? | sulfadiazine | enzyme inhibitor | subject has role | Query: What are different ways of connecting sulfadiazine, a chemical compound, and a substance that acts as an enzyme inhibitor in a specific role?
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)... | 868 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"sulfadiazine\",\n \"subject has role\",\n \"enzyme inhibitor\"\n ]\n ],\n \"2\": [\n [\n \"sulfadiazine\",\n \"interacts with\",\n \"warfarin\"\n ],\n [\n \"warfarin\",\n \"subject has role\",\n \"enzyme in... |
[
"Q104898827",
"P162",
"Q104640922"
] | [
"Q104898827",
"P162",
"Q95487473"
] | [
"Q95487473",
"P19",
"Q147607"
] | [
"Shadowplay",
"producer",
"Rasťo Šesták"
] | [
"Shadowplay",
"producer",
"Helena Uldrichová"
] | [
"Helena Uldrichová",
"place of birth",
"Jablonec nad Nisou"
] | Q104898827__P162 | 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 Rasťo Šesták, the Slovak athlete, and someone who was born in Jablonec nad Nisou? | Rasťo Šesták | Jablonec nad Nisou | place of birth | Query: What are different ways of connecting Rasťo Šesták, the Slovak athlete, and someone who was born in Jablonec nad Nisou?
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 ... | 869 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Ras\u0165o \u0160est\u00e1k\", \"occupation\", \"Athlete\"],\n [\"Athlete\", \"occupation of\", \"Barbora \u0160pot\u00e1kov\u00e1\"],\n [\"Barbora \u0160pot\u00e1kov\u00e1\", \"place of birth\", \"Jablonec nad Nisou\"]\n ],\n \"2\": [\n [\"Ras\u01... |
[
"Q10498280",
"P57",
"Q5807832"
] | [
"Q10498280",
"P57",
"Q5896028"
] | [
"Q5896028",
"P106",
"Q3455803"
] | [
"The Last Proletarians of Football",
"director",
"Carl Pontus Hjorthén"
] | [
"The Last Proletarians of Football",
"director",
"Martin Jönsson"
] | [
"Martin Jönsson",
"occupation",
"director"
] | Q10498280__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 The Last Proletarians of Football, a documentary film, and someone who works as a director? | The Last Proletarians of Football | director | occupation | Query: What are different ways of connecting The Last Proletarians of Football, a documentary film, and someone who works as a 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 c... | 870 | {"final_response": "<answer>\n{\n \"1\": [\n [\"The Last Proletarians of Football\", \"directed by\", \"Martin J\u00f6nsson\"],\n [\"Martin J\u00f6nsson\", \"occupation\", \"director\"]\n ],\n \"2\": [\n [\"The Last Proletarians of Football\", \"directed by\", \"Pontus Hjorth\u00e9n\"],\n [\"Pontus Hjort... |
[
"Q236936",
"P40",
"Q1434"
] | [
"Q1430",
"P40",
"Q1434"
] | [
"Q1430",
"P2365",
"Q64667626"
] | [
"Faustina the Younger",
"child",
"Commodus"
] | [
"Marcus Aurelius",
"child",
"Commodus"
] | [
"Marcus Aurelius",
"Roman cognomen",
"Severus"
] | Q1434__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 Faustina the Younger, a Roman empress, and someone who is known by the cognomen Severus? | Faustina the Younger | Severus | Roman cognomen | Query: What are different ways of connecting Faustina the Younger, a Roman empress, and someone who is known by the cognomen Severus?
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 cont... | 871 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Faustina the Younger\", \"mother of\", \"Annia Galeria Aurelia Faustina\"],\n [\"Annia Galeria Aurelia Faustina\", \"spouse\", \"Gnaeus Claudius Severus\"],\n [\"Gnaeus Claudius Severus\", \"Roman cognomen\", \"Severus\"]\n ],\n \"2\": [\n [\"Faust... |
[
"Q1528",
"P40",
"Q1532"
] | [
"Q739331",
"P40",
"Q1532"
] | [
"Q739331",
"P106",
"Q82955"
] | [
"Ramesses III",
"child",
"Ramesses IV"
] | [
"Tyti",
"child",
"Ramesses IV"
] | [
"Tyti",
"occupation",
"politician"
] | Q1532__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 Ramesses III, the ancient Egyptian pharaoh, and someone who is known for their role in politics? | Ramesses III | politician | occupation | Query: What are different ways of connecting Ramesses III, the ancient Egyptian pharaoh, and someone who is known for their role in politics?
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) formin... | 872 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Ramesses III\", \"transported in\", \"Pharaohs' Golden Parade\"],\n [\"Pharaohs' Golden Parade\", \"attended by\", \"Abdel Fattah el-Sisi\"],\n [\"Abdel Fattah el-Sisi\", \"occupation\", \"politician\"]\n ],\n \"2\": [\n [\"Ramesses III\", \"mummy studied b... |
[
"Q32488",
"P161",
"Q622864"
] | [
"Q32488",
"P161",
"Q3193117"
] | [
"Q3193117",
"P19",
"Q983609"
] | [
"2 Broke Girls",
"cast member",
"Travis Van Winkle"
] | [
"2 Broke Girls",
"cast member",
"Karen Maruyama"
] | [
"Karen Maruyama",
"place of birth",
"Perris"
] | Q32488__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 Travis Van Winkle, the American actor, and someone who was born in Perris? | Travis Van Winkle | Perris | place of birth | Query: What are different ways of connecting Travis Van Winkle, the American actor, and someone who was born in Perris?
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... | 873 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Travis Van Winkle\", \"cast member of\", \"The Last Ship (TV series)\"],\n [\"The Last Ship (TV series)\", \"original broadcaster\", \"TNT (American TV network)\"],\n [\"TNT (American TV network)\", \"broadcasts\", \"NCAA Division I men's basketball tournament\"... |
[
"Q31202708",
"P58",
"Q4805527"
] | [
"Q31202708",
"P58",
"Q7173432"
] | [
"Q7173432",
"P106",
"Q33999"
] | [
"Top Gun: Maverick",
"screenwriter",
"Ashley Miller"
] | [
"Top Gun: Maverick",
"screenwriter",
"Peter Craig"
] | [
"Peter Craig",
"occupation",
"actor"
] | 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 Ashley Miller, a notable figure in the entertainment industry, and someone who is an actor? | Ashley Miller | actor | occupation | Query: What are different ways of connecting Ashley Miller, a notable figure in the entertainment industry, and someone who is an 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 a c... | 874 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Ashley Miller\", \"writer of\", \"Thor (film)\"],\n [\"Chris Hemsworth\", \"cast member of\", \"Thor (film)\"],\n [\"Chris Hemsworth\", \"occupation\", \"actor\"]\n ],\n \"2\": [\n [\"Ashley Miller\", \"writer of\", \"X-Men: First Class\"],\n [\"Michael ... |
[
"Q147235",
"P161",
"Q254775"
] | [
"Q147235",
"P161",
"Q770841"
] | [
"Q770841",
"P166",
"Q1723064"
] | [
"How I Met Your Mother",
"cast member",
"Brooke Nevin"
] | [
"How I Met Your Mother",
"cast member",
"Ben Vereen"
] | [
"Ben Vereen",
"award received",
"Tony Award for Best Actor in a Musical"
] | Q147235__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 Brooke Nevin, an actress, and someone who has received the Tony Award for Best Actor in a Musical? | Brooke Nevin | Tony Award for Best Actor in a Musical | award received | Query: What are different ways of connecting Brooke Nevin, an actress, and someone who has received the Tony Award for Best Actor in a Musical?
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... | 875 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Brooke Nevin\",\n \"acted in\",\n \"How I Met Your Mother\"\n ],\n [\n \"Neil Patrick Harris\",\n \"acted in\",\n \"How I Met Your Mother\"\n ],\n [\n \"Neil Patrick Harris\",\n \"award received\",\n \"Tony Aw... |
[
"Q2543537",
"P463",
"Q24760"
] | [
"Q550333",
"P463",
"Q24760"
] | [
"Q550333",
"P106",
"Q2705098"
] | [
"Ryuichi Kawamura",
"member of",
"Luna Sea"
] | [
"Shinya Yamada",
"member of",
"Luna Sea"
] | [
"Shinya Yamada",
"occupation",
"tarento"
] | Q24760__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 Ryuichi Kawamura, a well-known musician, and someone who is a tarento? | Ryuichi Kawamura | tarento | occupation | Query: What are different ways of connecting Ryuichi Kawamura, a well-known musician, and someone who is a tarento?
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 ... | 876 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Ryuichi Kawamura\", \"songwriter for\", \"Noriko Sakai\"],\n [\"Noriko Sakai\", \"occupation\", \"tarento\"]\n ],\n \"2\": [\n [\"Ryuichi Kawamura\", \"songwriter for\", \"Shizuka Kudo\"],\n [\"Shizuka Kudo\", \"occupation\", \"tarento\"]\n ],\n ... |
[
"Q38363",
"P463",
"Q38361"
] | [
"Q106545108",
"P463",
"Q38361"
] | [
"Q106545108",
"P106",
"Q753110"
] | [
"Roberto Frejat",
"member of",
"Barão Vermelho"
] | [
"Fernando Magalhães",
"member of",
"Barão Vermelho"
] | [
"Fernando Magalhães",
"occupation",
"songwriter"
] | Q38361__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 Roberto Frejat, the Brazilian musician, and someone who is a songwriter? | Roberto Frejat | songwriter | occupation | Query: What are different ways of connecting Roberto Frejat, the Brazilian musician, and someone who is a songwriter?
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 tha... | 877 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Roberto Frejat\", \"occupation\", \"songwriter\"]\n ],\n \"2\": [\n [\"Roberto Frejat\", \"member of\", \"Bar\u00e3o Vermelho\"],\n [\"Bar\u00e3o Vermelho\", \"has member\", \"Cazuza\"],\n [\"Cazuza\", \"occupation\", \"songwriter\"]\n ],\n \"3\": [\n ... |
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Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
Inference Parameters
Model Configuration
- Model Name:
gemini-3.1-pro-preview - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
120 seconds
Query Configuration
- Query Type:
natural - Query Column:
query - Sampling Type:
original
Generation Parameters
- Temperature:
0.7 - Max Tokens:
16384 - Number of Runs:
1 - Chunk Size:
Entire dataset - Effort Level:
medium
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
False - No Curator:
False - Index Filter:
None (all samples) - Start Index:
860 - End Index:
880
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s860__e880__original__1__medium__0.7__16384__gemini-3_1-pro-preview.jsonl
Dataset Structure
The dataset contains the following key columns:
query: The original queryentity_a: Starting entityentity_b: Target entityrel_b: Target relationshippath_prediction: Generated connection pathsprompt_for_path: Prompts used for path generation
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset("s860_e880_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 12:27:39 using the inference pipeline with the above configuration.
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