Triple

T14583995
Position Surface form Disambiguated ID Type / Status
Subject North Augusta, South Carolina E342265 entity
Predicate locatedNear P294 FINISHED
Object Fort Gordon E342267 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 Gordon | Statement: [North Augusta, South Carolina, locatedNear, Fort Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Gordon
Context triple: [North Augusta, South Carolina, locatedNear, Fort Gordon]
  • A. Fort Gordon chosen
    Fort Gordon is a United States Army installation near Augusta, Georgia, historically known for its signal and cyber operations training missions.
  • B. 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.
  • C. 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.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4209b988190ad2a7b2dead8ffed completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94bbe6208190af9cd131c147e321 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.