Triple

T5165164
Position Surface form Disambiguated ID Type / Status
Subject Southwest Georgia E116532 entity
Predicate hasCity P316 FINISHED
Object Bainbridge, Georgia E289108 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: Bainbridge, Georgia | Statement: [Southwest Georgia, hasCity, Bainbridge, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bainbridge, Georgia
Context triple: [Southwest Georgia, hasCity, Bainbridge, Georgia]
  • A. Bainbridge, Georgia chosen
    Bainbridge, Georgia is a small city in the southwestern part of the state known for its outdoor recreation, historic downtown, and proximity to major waterways near the Florida border.
  • B. 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.
  • C. Brookhaven, Georgia
    Brookhaven, Georgia is a suburban city northeast of Atlanta known for its residential neighborhoods, parks, and mixed-use commercial districts.
  • D. Bogart, Georgia
    Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
  • E. Blakely, Georgia
    Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd792af4648190934cf2db523f6921 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed937bd8c81909569f7205044aa5a completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:44 p.m.