Triple

T13647686
Position Surface form Disambiguated ID Type / Status
Subject Fayette County Public Schools E326146 entity
Predicate serves P98 FINISHED
Object Tyrone, Georgia E64314 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: Tyrone, Georgia | Statement: [Fayette County Public Schools, serves, Tyrone, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyrone, Georgia
Context triple: [Fayette County Public Schools, serves, Tyrone, Georgia]
  • A. Tyrone, Georgia chosen
    Tyrone, Georgia is a small suburban town in the Atlanta metropolitan area known for its residential communities and location in Fayette County.
  • B. Townsend, Georgia
    Townsend, Georgia is a small unincorporated community in coastal southeastern Georgia known for its rural character and proximity to marshlands and waterways.
  • 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. Argyle, Georgia
    Argyle, Georgia is a small rural town in southern Georgia known for its quiet community and location within Clinch County.
  • E. St. Marys, Georgia
    St. Marys, Georgia is a historic coastal town in southeastern Georgia known as a gateway to Cumberland Island and the surrounding marshes and waterways.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6073e888190965456a639839749 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af948408190bca7f2e46863391e completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:52 p.m.