Triple

T14302395
Position Surface form Disambiguated ID Type / Status
Subject Banks County E354599 entity
Predicate hasCity P316 FINISHED
Object Baldwin, Georgia E1091542 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: Baldwin, Georgia | Statement: [Banks County, hasCity, Baldwin, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baldwin, Georgia
Context triple: [Banks County, hasCity, Baldwin, Georgia]
  • A. Baldwin, Georgia chosen
    Baldwin, Georgia is a small city in northeastern Georgia that serves as a local commercial and residential hub for the surrounding rural area.
  • B. Bloomingdale, Georgia
    Bloomingdale, Georgia is a small city in Chatham County that forms part of the greater Savannah metropolitan region in the southeastern United States.
  • C. Blakely, Georgia
    Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
  • D. Butler, Georgia
    Butler, Georgia is a small city in west-central Georgia that serves as the county seat and local government hub for Taylor County.
  • E. Bethlehem, Georgia
    Bethlehem, Georgia is a small town in northeastern Georgia known for its Christmas-themed name and seasonal postmark that attracts holiday mail from across the country.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717fc2348190bb6ba3109bd2871f completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4682f86881908c9fb210bb9e486a completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:12 a.m.