Triple

T5528857
Position Surface form Disambiguated ID Type / Status
Subject USAIS E144995 entity
Predicate formerlyLocatedAt P4380 FINISHED
Object Fort Benning, Georgia E109971 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 Benning, Georgia | Statement: [USAIS, formerlyLocatedAt, Fort Benning, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Benning, Georgia
Context triple: [USAIS, formerlyLocatedAt, Fort Benning, Georgia]
  • A. Fort Benning chosen
    Fort Benning was a major U.S. Army installation in Georgia, long known as a primary training center for infantry and airborne forces.
  • B. Fort Gordon
    Fort Gordon is a United States Army installation near Augusta, Georgia, historically known for its signal and cyber operations training missions.
  • C. Fort Stewart
    Fort Stewart is a major U.S. Army installation in southeastern Georgia that serves as a key training and deployment base for armored and mechanized units.
  • D. Fort Bragg
    Fort Bragg is a major U.S. Army installation in North Carolina known as one of the world’s largest military bases and a central hub for airborne and special operations forces.
  • E. Fort Bragg
    Fort Bragg is a small coastal city in Northern California known for its scenic Pacific shoreline, Glass Beach, and historic lumber industry.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f8b6c348190b7d414dc1907d09a completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02801cbf881909da344a057520f32 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:34 p.m.