Triple

T6531003
Position Surface form Disambiguated ID Type / Status
Subject Army Reception Battalion E152228 entity
Predicate associatedWith P37 FINISHED
Object Fort Leonard Wood E105424 NE 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: Fort Leonard Wood | Statement: [Army Reception Battalion, associatedWith, Fort Leonard Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Leonard Wood
Context triple: [Army Reception Battalion, associatedWith, Fort Leonard Wood]
  • A. Fort Leonard Wood, Missouri chosen
    Fort Leonard Wood, Missouri is a major U.S. Army training installation known for its engineer, chemical, and military police schools.
  • B. Fort Benning
    Fort Benning was a major U.S. Army installation in Georgia, long known as a primary training center for infantry and airborne forces.
  • C. Fort Dix
    Fort Dix is a major U.S. Army installation in New Jersey that has long served as a key training and mobilization center for American soldiers.
  • D. Fort Custer Training Center
    Fort Custer Training Center is a Michigan Army National Guard training facility near Battle Creek, Michigan, used for military exercises, readiness training, and support operations.
  • E. Fort Huachuca
    Fort Huachuca is a major U.S. Army installation in southeastern Arizona known for its roles in military intelligence, communications, and electronic testing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adbcf820819097ca33a5fc14fd64 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7127b5b908190af3818df47102079 completed March 27, 2026, 11:27 p.m.
Created at: March 27, 2026, 1:46 p.m.