Triple

T4449938
Position Surface form Disambiguated ID Type / Status
Subject 100th Infantry Battalion E96381 entity
Predicate compositionPolicy P6730 FINISHED
Object segregated Japanese American unit 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: segregated Japanese American unit | Statement: [100th Infantry Battalion, compositionPolicy, segregated Japanese American unit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: compositionPolicy
Context triple: [100th Infantry Battalion, compositionPolicy, segregated Japanese American unit]
  • A. ordinationPolicy
    Indicates the rules or criteria governing how entities are ordered, ranked, or arranged relative to one another.
  • B. compositionRule chosen
    Indicates how multiple elements or components are combined or arranged according to a specific rule or pattern.
  • C. governingPolicy
    Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
  • D. collectionPolicy
    Indicates the rules or guidelines that govern how items are gathered, selected, and managed within a collection.
  • E. conversionPolicyImposedBy
    Indicates that a specific conversion policy is mandated or enforced by a particular authority or 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d5975c8190bfe8a2d5d2dbf075 completed March 13, 2026, 12:09 a.m.
PD Predicate disambiguation batch_69b34f62c180819097ced38da2052207 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:32 p.m.