Triple

T14991809
Position Surface form Disambiguated ID Type / Status
Subject Appling County, Georgia E373852 entity
Predicate seat P75 FINISHED
Object Baxley, Georgia E408991 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: Baxley, Georgia | Statement: [Appling County, Georgia, seat, Baxley, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baxley, Georgia
Context triple: [Appling County, Georgia, seat, Baxley, Georgia]
  • A. Baxley, Georgia chosen
    Baxley, Georgia is a small city in Appling County known for its rural character and proximity to major energy infrastructure in southeastern Georgia.
  • B. 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.
  • C. Blakely, Georgia
    Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
  • D. Statesboro, Georgia
    Statesboro, Georgia is a small city in southeastern Georgia known as a regional hub for education, commerce, and as the home of Georgia Southern University.
  • E. Buchanan, Georgia
    Buchanan, Georgia is a small city in northwestern Georgia that serves as the administrative and governmental center of Haralson County.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded715db408190b44e8a8452c79764 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7d956808190a3f17ef14c21d3af completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 2:53 a.m.