Triple

T745829
Position Surface form Disambiguated ID Type / Status
Subject Cabinet Office of Japan E15338 entity
Predicate hasMinisterialPost P7410 FINISHED
Object Minister of State for Special Missions LITERAL FINISHED

How this triple was built (2 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 Special Missions | Statement: [Cabinet Office of Japan, hasMinisterialPost, Minister of State for Special Missions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMinisterialPost
Context triple: [Cabinet Office of Japan, hasMinisterialPost, Minister of State for Special Missions]
  • A. hasMinister
    Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
  • B. hasMinisterTitle chosen
    Indicates that an entity holds or is associated with a specific ministerial title or office.
  • C. alsoHoldsOfficeOf
    Indicates that an entity currently holding one office or position simultaneously holds another office or position as well.
  • D. hasPoliticalRole
    Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
  • E. memberHoldsOffice
    Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
  • F. None of above.

Provenance (3 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a61217b881908592096b1edacb8a completed March 1, 2026, 8:48 p.m.
PD Predicate disambiguation batch_69a4a4ff10608190bfd60b4a1cb38f7d completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.