Triple

T7845290
Position Surface form Disambiguated ID Type / Status
Subject Terminal B (John Wayne Airport) E181907 entity
Predicate operator P179 FINISHED
Object County of Orange E188421 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: County of Orange | Statement: [Terminal B (John Wayne Airport), operator, County of Orange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: County of Orange
Context triple: [Terminal B (John Wayne Airport), operator, County of Orange]
  • A. County of Orange chosen
    The County of Orange is a local government jurisdiction in Southern California that administers numerous public services and facilities for its residents.
  • B. Union County
    Union County is a rural county in northeastern New Mexico known for its ranching economy, wide-open High Plains landscapes, and small communities such as its county seat, Clayton.
  • C. Union County
    Union County is a county in northern Georgia known for its mountainous terrain, outdoor recreation areas, and historic ties to the region’s gold-mining heritage.
  • D. Union County
    Union County is a suburban county in North Carolina that forms part of the greater Charlotte metropolitan area.
  • E. Union County
    Union County is a rural county in southwestern Iowa known for its agricultural landscape 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163d92fc8190a4efcb08d6b3d404 completed March 31, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5af27c9c8190a3e6062d323acff1 completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:49 p.m.