Triple

T11617300
Position Surface form Disambiguated ID Type / Status
Subject Whitesburg, Georgia E275540 entity
Predicate abbreviation P43 FINISHED
Object Whitesburg, GA E275540 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: Whitesburg, GA | Statement: [Whitesburg, Georgia, abbreviation, Whitesburg, GA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitesburg, GA
Context triple: [Whitesburg, Georgia, abbreviation, Whitesburg, GA]
  • A. Whitesburg, Georgia chosen
    Whitesburg, Georgia is a small town in western Georgia known for its rural character and proximity to the Chattahoochee River.
  • B. Fairburn, Georgia
    Fairburn, Georgia is a small city in the Atlanta metropolitan area known for its historic downtown and role as a growing suburban community.
  • C. Sharpsburg, Georgia
    Sharpsburg, Georgia is a small town in western Georgia known for its quiet residential character within the Atlanta metropolitan area.
  • D. Waynesboro, Georgia
    Waynesboro, Georgia is a small historic city in eastern Georgia known for its agricultural surroundings and role as a local economic and cultural center.
  • E. Walthourville, Georgia
    Walthourville, Georgia is a small city in southeastern Georgia that forms part of the Hinesville–Fort Stewart metropolitan area.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a047758081908191c1d564409d9a completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee873ee6888190ab6e87ed0f4ae731 completed April 26, 2026, 9:44 p.m.
Created at: April 8, 2026, 9:38 p.m.