Triple

T14679518
Position Surface form Disambiguated ID Type / Status
Subject Gordon County, Georgia E344740 entity
Predicate hasCity P316 FINISHED
Object Fairmount, Georgia E1101814 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: Fairmount, Georgia | Statement: [Gordon County, Georgia, hasCity, Fairmount, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fairmount, Georgia
Context triple: [Gordon County, Georgia, hasCity, Fairmount, Georgia]
  • A. Fairmount, Georgia chosen
    Fairmount, Georgia is a small rural city in northwestern Georgia known for its quiet community and proximity to the foothills of the Appalachian Mountains.
  • B. Fairview, Georgia
    Fairview, Georgia is an unincorporated community and census-designated place in northwestern Georgia, situated near the Tennessee border within the Chattanooga metropolitan area.
  • C. Sylvania, Georgia
    Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
  • D. Farmington, Georgia
    Farmington, Georgia is a small unincorporated rural community located in Oconee County in the U.S. state of Georgia.
  • E. Fairburn, Georgia
    Fairburn, Georgia is a small city in the Atlanta metropolitan area known for its historic downtown and role as a growing suburban community.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7cfd9d08190b5b95f6dc0a08537 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 1:27 a.m.