Triple

T7668149
Position Surface form Disambiguated ID Type / Status
Subject 河野太郎 E173676 entity
Predicate 公職 P3902 FINISHED
Object 衆議院議員 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: 衆議院議員 | Statement: [河野太郎, 公職, 衆議院議員]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 公職
Context triple: [河野太郎, 公職, 衆議院議員]
  • A. governmentalFunction chosen
    Indicates that an entity performs, embodies, or is responsible for an official role, duty, or activity of a government.
  • B. roleInTaiwan
    Indicates that an entity holds or has held an official or notable role, position, or function within the political, administrative, or social context of Taiwan.
  • C. governmentAdministration
    Indicates that an entity is responsible for managing, directing, or overseeing the operations, policies, and functions of a government or public authority.
  • D. mainGovernment
    Indicates that one entity serves as the primary governing authority or central government for another entity.
  • E. governmentalCore
    Indicates that something serves as a central, essential, or foundational part of a government or governmental system.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7063dab1881909598b04999b8b690 completed March 27, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69c7015f7430819099d3ea2781b7cee2 completed March 27, 2026, 10:14 p.m.
Created at: March 27, 2026, 4 p.m.