Triple

T20057293
Position Surface form Disambiguated ID Type / Status
Subject Butler, Georgia city government E499372 entity
Predicate locatedIn P40 FINISHED
Object Butler, 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: Butler, Georgia | Statement: [Butler, Georgia city government, locatedIn, Butler, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butler, Georgia
Context triple: [Butler, Georgia city government, locatedIn, Butler, Georgia]
  • A. Butler, Georgia chosen
    Butler, Georgia is a small city in west-central Georgia that serves as the county seat and local government hub for Taylor County.
  • B. Blakely, Georgia
    Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
  • C. Bogart, Georgia
    Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
  • D. Buchanan, Georgia
    Buchanan, Georgia is a small city in northwestern Georgia that serves as the administrative and governmental center of Haralson County.
  • E. Guyton, Georgia
    Guyton, Georgia is a small city in southeastern Georgia known for its historic charm and role as a residential community within the Savannah metropolitan area.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637325908190aefc0e27e2ed5750 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.