Triple

T4748605
Position Surface form Disambiguated ID Type / Status
Subject Benning Phase E105422 entity
Predicate location P40 FINISHED
Object Fort Moore, Georgia E19596 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 Moore, Georgia | Statement: [Benning Phase, location, Fort Moore, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Moore, Georgia
Context triple: [Benning Phase, location, Fort Moore, Georgia]
  • A. Fort Moore, Georgia chosen
    Fort Moore, Georgia is a major U.S. Army installation best known as a primary center for infantry and combat training.
  • B. Fort Eisenhower, Georgia
    Fort Eisenhower, Georgia is a major U.S. Army installation near Augusta best known as a center for signal, cyber, and communications training and operations.
  • C. Fort Oglethorpe
    Fort Oglethorpe is a small city in northwest Georgia known for its historic military post and proximity to the Chickamauga and Chattanooga National Military Park.
  • D. Fort Gordon
    Fort Gordon is a United States Army installation near Augusta, Georgia, historically known for its signal and cyber operations training missions.
  • E. 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.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c6f5ac81908a62f9c17e77ac86 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a4e0844819098bb9abb05094a89 completed March 21, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:20 p.m.