Triple

T22248835
Position Surface form Disambiguated ID Type / Status
Subject Buckeye Municipal Airport E549916 entity
Predicate owner P347 FINISHED
Object City of Buckeye NE NERFINISHED

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: City of Buckeye | Statement: [Buckeye Municipal Airport, owner, City of Buckeye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Buckeye
Context triple: [Buckeye Municipal Airport, owner, City of Buckeye]
  • A. Glen St. Mary
    Glen St. Mary is a small town in northeastern Florida known for its rural character and location within Baker County near the Georgia border.
  • B. Buckeye chosen
    Buckeye is a rapidly growing city in the Phoenix metropolitan area of Arizona, known for its suburban expansion and proximity to the Sonoran Desert.
  • C. Xenia, Ohio
    Xenia, Ohio is a small city in southwestern Ohio known for its historic downtown, proximity to Dayton, and extensive network of bike trails.
  • D. Beavercreek, Ohio
    Beavercreek, Ohio is a suburban city near Dayton known for its residential communities, retail centers, and proximity to Wright-Patterson Air Force Base in the Miami Valley region.
  • E. Westlake, Ohio
    Westlake, Ohio is a suburban city located west of Cleveland known for its residential neighborhoods, retail centers, and proximity to Lake Erie.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138bc69d48190b185d4b8f4089922 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:38 p.m.