Triple

T9266273
Position Surface form Disambiguated ID Type / Status
Subject 平野佳寿 E222707 entity
Predicate 所属国代表 P1315 FINISHED
Object 日本代表 — 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: 日本代表 | Statement: [平野佳寿, 所属国代表, 日本代表]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 所属国代表
Context triple: [平野佳寿, 所属国代表, 日本代表]
  • A. nationalityRepresented
    Indicates the country or nation that an entity officially represents, typically in a professional, competitive, or diplomatic capacity.
  • B. countryRepresented chosen
    Indicates that one entity serves as the official representative (such as an athlete, diplomat, or delegate) of a specific country in a given context or event.
  • C. countryRepresentedBy
    Indicates that a particular country is officially represented by a specified person, organization, or entity in a given context.
  • D. representedInternationallyBy
    Indicates that one entity serves as the official international representative or agent acting on behalf of another entity in foreign or global contexts.
  • E. countryRepresenting
    Indicates that one entity serves as the official representative or acting country on behalf of another entity in a given context.
  • 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0749efb8819083b48e7446e84a06 completed April 1, 2026, 11:53 a.m.
PD Predicate disambiguation batch_69cc7a537bbc8190baee71f556e52a7b completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:33 p.m.