Triple

T968198
Position Surface form Disambiguated ID Type / Status
Subject 3rd Ranger Battalion E20883 entity
Predicate garrison P75 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: [3rd Ranger Battalion, garrison, Fort Benning, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Benning, Georgia
Context triple: [3rd Ranger Battalion, garrison, 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 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.
  • C. Fort Bragg
    Fort Bragg is a small coastal city in Northern California known for its scenic Pacific shoreline, Glass Beach, and historic lumber industry.
  • D. 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.
  • E. Fort Leonard Wood, Missouri
    Fort Leonard Wood, Missouri is a major U.S. Army training installation known for its engineer, chemical, and military police schools.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b43549008190a4d65efdc3bda520 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac17055f008190a5011d9b23bd3858 completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.