Triple

T10679178
Position Surface form Disambiguated ID Type / Status
Subject Harlem Hellfighters E251698 entity
Predicate reasonServedUnderFrench P24494 FINISHED
Object racial segregation policies of the U.S. Army 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: racial segregation policies of the U.S. Army | Statement: [Harlem Hellfighters, reasonServedUnderFrench, racial segregation policies of the U.S. Army]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonServedUnderFrench
Context triple: [Harlem Hellfighters, reasonServedUnderFrench, racial segregation policies of the U.S. Army]
  • A. statedReason chosen
    Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
  • B. reasonForUse
    Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
  • C. reasonForSpecialMeasures
    Indicates that one entity specifies the justification or cause for which special measures or exceptional actions are taken regarding another entity.
  • D. reasonWritten
    Indicates that one entity is the reason or motivation for which another entity was written or authored.
  • E. reasonForGrant
    Indicates the justification, purpose, or cause for which a grant is awarded or provided.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc03dc4819080a6211a2bfaaf0a completed April 9, 2026, 1:11 a.m.
PD Predicate disambiguation batch_69d6dd8a93208190a573061387e2aebb completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:10 p.m.