Triple

T6306882
Position Surface form Disambiguated ID Type / Status
Subject Cordele E141398 entity
Predicate partOf P40 FINISHED
Object Crisp County, Georgia E126817 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: Crisp County, Georgia | Statement: [Cordele, partOf, Crisp County, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crisp County, Georgia
Context triple: [Cordele, partOf, Crisp County, Georgia]
  • A. Crawford County, Georgia
    Crawford County, Georgia is a rural county in central Georgia that forms part of the broader Macon metropolitan region.
  • B. Colquitt County, Georgia
    Colquitt County, Georgia is a predominantly rural county in south-central Georgia known for its agricultural economy and county seat, Moultrie.
  • C. Crisp County chosen
    Crisp County is a rural county in south-central Georgia known for its agriculture and its county seat, Cordele.
  • D. Newton County, Georgia
    Newton County, Georgia is a county in the north-central part of the state that includes the city of Covington and forms part of the Atlanta metropolitan area.
  • E. Whitfield County, Georgia
    Whitfield County, Georgia is a county in the northwestern part of the state, known for its seat Dalton and its role as a center of the U.S. carpet and flooring 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647b69f08190bb085f9b700f6453 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e44c11f48190a8c3c36172cd8da0 completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:28 p.m.