Triple

T7480508
Position Surface form Disambiguated ID Type / Status
Subject Arlington, Georgia E176743 entity
Predicate county P75 FINISHED
Object Calhoun County E584521 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: Calhoun County | Statement: [Arlington, Georgia, county, Calhoun County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calhoun County
Context triple: [Arlington, Georgia, county, Calhoun County]
  • A. Calhoun County
    Calhoun County is a county in northeastern Alabama known for the city of Anniston, its role in regional industry and military history, and its location in the Appalachian foothills.
  • B. Calhoun County
    Calhoun County is a county in southern Michigan, United States, known for encompassing the city of Battle Creek and its surrounding communities.
  • C. Calhoun County
    Calhoun County is a rural county in the Florida Panhandle known for its forests, rivers, and small agricultural communities.
  • D. Calhoun County chosen
    Calhoun County is a rural county in southwestern Georgia known for its agricultural landscape and small-town communities, including the city of Edison.
  • E. Talbot County
    Talbot County is a county in west-central Georgia, United States, known for its rural character and historic small towns such as Talbotton.
  • 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_69c69f236ce08190a04d7679f03b29b2 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f532f4488190b6edaa96099c3b8f completed March 27, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83493f0988190b8c569d34bbe2817 completed March 28, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:42 p.m.