Triple

T2301059
Position Surface form Disambiguated ID Type / Status
Subject Japanese North China Area Army E51731 entity
Predicate allegedInvolvement P31290 FINISHED
Object war crimes in occupied China 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: war crimes in occupied China | Statement: [Japanese North China Area Army, allegedInvolvement, war crimes in occupied China]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allegedInvolvement
Context triple: [Japanese North China Area Army, allegedInvolvement, war crimes in occupied China]
  • A. formerlyInvolved
    Indicates that an entity previously participated in or was associated with another entity or activity, but is no longer involved.
  • B. oftenInvolvedWith
    Indicates that one entity frequently participates in or is commonly associated with activities, events, or situations involving another entity.
  • C. hasMemberInvolvedIn
    Indicates that a group or collective entity has at least one of its members participating in or engaged with a specified activity, event, or situation.
  • D. allegedAgentOf chosen
    Indicates that one entity is claimed or suspected, but not confirmed, to be the agent responsible for an action or event involving another entity.
  • E. frontInvolved
    Indicates that an entity is directly involved in or associated with the front (e.g., front line, front-facing part, or leading edge) of another entity or situation.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abcbabf01081908db3b42bc7c60444 completed March 7, 2026, 6:54 a.m.
PD Predicate disambiguation batch_69abc58ad33c8190b8d68af41b6f5e07 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.