Triple

T1532326
Position Surface form Disambiguated ID Type / Status
Subject Taro Kono E32470 entity
Predicate positionHeld P8 FINISHED
Object Minister of State for Disaster Management of Japan
The Minister of State for Disaster Management of Japan is a cabinet-level government official responsible for overseeing national policies and coordination related to disaster prevention, preparedness, response, and recovery.
E173678 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Minister of State for Disaster Management of Japan | Statement: [Taro Kono, positionHeld, Minister of State for Disaster Management of Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minister of State for Disaster Management of Japan
Context triple: [Taro Kono, positionHeld, Minister of State for Disaster Management of Japan]
  • A. Minister for Internal Affairs and Communications of Japan
    The Minister for Internal Affairs and Communications of Japan is a cabinet-level government official responsible for overseeing the country’s internal administration, local governments, communications policy, and information technology strategy.
  • B. Minister for Administrative Reform of Japan
    The Minister for Administrative Reform of Japan is a cabinet-level government post responsible for leading bureaucratic, regulatory, and digitalization reforms to improve the efficiency and transparency of Japan’s public administration.
  • C. Minister of Agriculture, Forestry and Fisheries of Japan
    The Minister of Agriculture, Forestry and Fisheries of Japan is the cabinet-level government official responsible for overseeing the country’s policies on farming, rural development, fisheries, and forest management.
  • D. Minister of Health and Welfare of Japan
    The Minister of Health and Welfare of Japan is a former cabinet position responsible for overseeing the nation’s public health, medical services, and social welfare policies before its functions were reorganized into the Ministry of Health, Labour and Welfare.
  • E. Minister of Transport of Japan
    The Minister of Transport of Japan is the cabinet official responsible for overseeing the country’s transportation policy, infrastructure, and related regulatory affairs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Minister of State for Disaster Management of Japan
Triple: [Taro Kono, positionHeld, Minister of State for Disaster Management of Japan]
Generated description
The Minister of State for Disaster Management of Japan is a cabinet-level government official responsible for overseeing national policies and coordination related to disaster prevention, preparedness, response, and recovery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Minister of State for Disaster Management of Japan
Target entity description: The Minister of State for Disaster Management of Japan is a cabinet-level government official responsible for overseeing national policies and coordination related to disaster prevention, preparedness, response, and recovery.
  • A. Minister for Internal Affairs and Communications of Japan
    The Minister for Internal Affairs and Communications of Japan is a cabinet-level government official responsible for overseeing the country’s internal administration, local governments, communications policy, and information technology strategy.
  • B. Minister for Administrative Reform of Japan
    The Minister for Administrative Reform of Japan is a cabinet-level government post responsible for leading bureaucratic, regulatory, and digitalization reforms to improve the efficiency and transparency of Japan’s public administration.
  • C. Minister of Agriculture, Forestry and Fisheries of Japan
    The Minister of Agriculture, Forestry and Fisheries of Japan is the cabinet-level government official responsible for overseeing the country’s policies on farming, rural development, fisheries, and forest management.
  • D. Minister of Health and Welfare of Japan
    The Minister of Health and Welfare of Japan is a former cabinet position responsible for overseeing the nation’s public health, medical services, and social welfare policies before its functions were reorganized into the Ministry of Health, Labour and Welfare.
  • E. Minister of Transport of Japan
    The Minister of Transport of Japan is the cabinet official responsible for overseeing the country’s transportation policy, infrastructure, and related regulatory affairs.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9081835e4819093dee004fdb027ff completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad295a03d881909071fb437c2d19ba completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2a18a79c81908f04ba9aa55d52a0 completed March 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a8deae8819095731fdd1b4bd310 completed March 8, 2026, 7:51 a.m.
Created at: March 4, 2026, 7:26 p.m.