Triple

T18040169
Position Surface form Disambiguated ID Type / Status
Subject Thomas County E431628 entity
Predicate hasCity P316 FINISHED
Object Coolidge, Georgia NE NERFINISHED

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: Coolidge, Georgia | Statement: [Thomas County, hasCity, Coolidge, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coolidge, Georgia
Context triple: [Thomas County, hasCity, Coolidge, Georgia]
  • A. Coolidge, Georgia chosen
    Coolidge, Georgia is a small rural city located in Thomas County in the southern part of the U.S. state of Georgia.
  • B. Colquitt, Georgia
    Colquitt, Georgia is a small city in southwest Georgia known as the cultural and economic hub of Miller County.
  • C. Townsend, Georgia
    Townsend, Georgia is a small unincorporated community in coastal southeastern Georgia known for its rural character and proximity to marshlands and waterways.
  • D. Plainville, Georgia
    Plainville, Georgia is a small rural city located in northwestern Georgia within Gordon County.
  • E. Calhoun, Georgia
    Calhoun, Georgia is a small city in northwest Georgia known as the county seat of Gordon County and a regional hub along Interstate 75.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bfece6448190b4ba96075715bcef completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.