Triple

T11895372
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 87 E283022 entity
Predicate passesThrough P225 FINISHED
Object Telfair County E133327 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: Telfair County | Statement: [Georgia State Route 87, passesThrough, Telfair County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telfair County
Context triple: [Georgia State Route 87, passesThrough, Telfair County]
  • A. Telfair County chosen
    Telfair County is a rural county in south-central Georgia known for its agricultural landscape and small-town communities.
  • B. Bulloch County
    Bulloch County is a largely rural county in southeastern Georgia, known for its agricultural economy and county seat, Statesboro.
  • C. 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.
  • D. Tallapoosa County
    Tallapoosa County is a county in east-central Alabama known for Lake Martin, outdoor recreation, and its county seat, Dadeville.
  • E. Whitfield County
    Whitfield County is a county in northwestern Georgia known for its location in the Appalachian foothills and its center, the city of Dalton, a major hub of the U.S. carpet industry.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1286808190949719f54ff49a01 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f47183cf808190989a7f3ea734cdf7 completed May 1, 2026, 9:25 a.m.
Created at: April 8, 2026, 9:44 p.m.