Triple

T2651061
Position Surface form Disambiguated ID Type / Status
Subject Son Kee-chung E53897 entity
Predicate citizenshipStatusDuringOlympics P31432 FINISHED
Object subject of the Japanese Empire 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: subject of the Japanese Empire | Statement: [Son Kee-chung, citizenshipStatusDuringOlympics, subject of the Japanese Empire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: citizenshipStatusDuringOlympics
Context triple: [Son Kee-chung, citizenshipStatusDuringOlympics, subject of the Japanese Empire]
  • A. citizenshipDuringLifetime chosen
    Indicates that an entity held citizenship in a particular country or political unit at some point during its lifetime.
  • B. OlympicStatus
    Indicates that an entity holds a particular status or role in relation to the Olympic Games (e.g., being an Olympic sport, event, athlete, or host).
  • C. OlympicGamesParticipated
    Indicates that an entity has taken part as a competitor in one or more editions of the Olympic Games.
  • D. immigrationStatusBeforeCitizenship
    Indicates the legal immigration status an individual held prior to obtaining citizenship.
  • E. definedCitizenship
    Indicates that a formal citizenship status has been legally established or specified for an entity.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd92f5f508190b4ca396c3f399e93 completed March 7, 2026, 7:52 a.m.
PD Predicate disambiguation batch_69abd814298c8190952f05aed43f6bb8 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:53 p.m.