Triple

T820609
Position Surface form Disambiguated ID Type / Status
Subject Alabama E17742 entity
Predicate containsCounty P5971 FINISHED
Object Coffee County E60047 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: Coffee County | Statement: [Alabama, containsCounty, Coffee County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coffee County
Context triple: [Alabama, containsCounty, Coffee County]
  • A. Blount County
    Blount County is a county in eastern Tennessee known for encompassing part of the Great Smoky Mountains and serving as a suburban and recreational area near Knoxville.
  • B. Loudon County
    Loudon County is a county in eastern Tennessee that forms part of the Knoxville metropolitan region, known for its mix of suburban communities, rural landscapes, and access to the Tennessee River.
  • C. McIntosh County
    McIntosh County is a coastal county in southeastern Georgia known for its marshlands, historic communities, and location along the Atlantic Intracoastal Waterway.
  • D. Coffee County, Alabama chosen
    Coffee County, Alabama is a rural county in southeastern Alabama known for its agricultural economy, particularly peanut farming, and its county seat, Elba.
  • E. Fayette County
    Fayette County is a largely rural county in southwestern Pennsylvania known for its Appalachian landscape, historic industrial and coal-mining heritage, and proximity to the Pittsburgh metropolitan area.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab6698d881908d8c5d91259f97ec completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf0330b4819089042160ff199336 completed March 8, 2026, 12:12 a.m.
Created at: March 1, 2026, 7:38 p.m.