Triple

T22440283
Position Surface form Disambiguated ID Type / Status
Subject 眞子内親王 E554735 entity
Predicate 公的役割 P19321 FINISHED
Object 元皇族 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: 元皇族 | Statement: [眞子内親王, 公的役割, 元皇族]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 公的役割
Context triple: [眞子内親王, 公的役割, 元皇族]
  • A. scopeOfDuty
    Indicates the range or extent of responsibilities, tasks, or obligations that an entity is expected or authorized to perform.
  • 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. governmentalRole chosen
    Indicates that an entity holds or is assigned a specific official position, function, or authority within a government or public administration structure.
  • D. 担当大臣
    Indicates that a person serves as the cabinet minister responsible for a particular policy area or administrative domain.
  • E. goalOfDuties
    Indicates that something is the intended objective or purpose that a set of duties or responsibilities is meant to achieve.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae0edcc8190919b198035de0df2 completed April 29, 2026, 1:12 a.m.
PD Predicate disambiguation batch_69e898a327948190beee5e168006a0a7 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:47 p.m.