Triple

T11050966
Position Surface form Disambiguated ID Type / Status
Subject Hiawassee E261246 entity
Predicate county P75 FINISHED
Object Towns County E317695 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: Towns County | Statement: [Hiawassee, county, Towns County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Towns County
Context triple: [Hiawassee, county, Towns County]
  • A. Towns County chosen
    Towns County is a small, mountainous county in northeastern Georgia known for its scenic landscapes, outdoor recreation, and location along the North Carolina border.
  • 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. Ware County
    Ware County is a county in southeastern Georgia known for encompassing much of the Okefenokee Swamp and having Waycross as its county seat.
  • D. Terrell County
    Terrell County is a sparsely populated rural county in southwestern Texas known for its rugged desert landscapes and ranching heritage.
  • E. McIntosh County
    McIntosh County is a coastal county in southeastern Georgia known for its marshlands, historic communities, and location along the Atlantic Intracoastal Waterway.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798698bd88190aa97afd37f55e19f completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa146b148190a87205e542cc718f completed April 18, 2026, 3:58 p.m.
Created at: April 8, 2026, 9:26 p.m.