Triple

T11014825
Position Surface form Disambiguated ID Type / Status
Subject Byron E260336 entity
Predicate locatedIn P40 FINISHED
Object Peach County E45074 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: Peach County | Statement: [Byron, locatedIn, Peach County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peach County
Context triple: [Byron, locatedIn, Peach County]
  • A. Peach County chosen
    Peach County is a county in central Georgia known for its agricultural production, especially peaches, and its location within the Macon metropolitan area.
  • B. Banks County
    Banks County is a rural county in northeastern Georgia known for its location within the historic Georgia Gold Belt and its small-town communities.
  • C. Tallapoosa County
    Tallapoosa County is a county in east-central Alabama known for Lake Martin, outdoor recreation, and its county seat, Dadeville.
  • D. Gordon County
    Gordon County is a county in northwestern Georgia, United States, known historically for its location within the mineral-rich Georgia Gold Belt.
  • E. Toombs County
    Toombs County is a rural county in southeastern Georgia known for its agriculture, particularly Vidalia onions, and its county seat, Lyons.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a49f648190a5144625d09dec6f completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ee861f89b48190b06fba51475497e6 completed April 26, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:25 p.m.