Triple

T12280299
Position Surface form Disambiguated ID Type / Status
Subject Delta County Airport E292698 entity
Predicate operator P179 FINISHED
Object Delta County E993993 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: Delta County | Statement: [Delta County Airport, operator, Delta County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delta County
Context triple: [Delta County Airport, operator, Delta County]
  • A. Delta County chosen
    Delta County is a county-level governmental jurisdiction in the United States that owns and operates Delta County Airport.
  • B. Prescott County
    Prescott County was a former county in eastern Ontario, Canada, that later became part of the United Counties of Prescott and Russell.
  • C. Carson County
    Carson County is a rural county in the Texas Panhandle known for its agricultural economy and small-town communities.
  • D. Grant County
    Grant County is a county in central Washington State known for its agricultural production, reservoirs, and outdoor recreation areas.
  • E. Grant County
    Grant County is a rural county in eastern West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf1ab8c8190a51f498bfda957d8 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718199d0819088eff94c031d2fe1 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:52 p.m.