Triple

T1037719
Position Surface form Disambiguated ID Type / Status
Subject PHX E22401 entity
Predicate formerName P65 FINISHED
Object Sky Harbor Airport E60259 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: Sky Harbor Airport | Statement: [PHX, formerName, Sky Harbor Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky Harbor Airport
Context triple: [PHX, formerName, Sky Harbor Airport]
  • A. Sky Harbor Airport chosen
    Sky Harbor Airport is a major international airport serving the Phoenix metropolitan area in Arizona and one of the busiest air travel hubs in the United States.
  • B. Lake City Gateway Airport
    Lake City Gateway Airport is a public airport serving general aviation and regional air traffic for the Lake City area in northern Florida.
  • C. Wonderboom National Airport
    Wonderboom National Airport is a regional airport serving the Pretoria area in South Africa, handling mainly domestic and general aviation flights.
  • D. Addison Airport
    Addison Airport is a busy general aviation and reliever airport serving private, corporate, and charter flights in the Dallas–Fort Worth metropolitan area.
  • E. Austin Straubel International Airport
    Austin Straubel International Airport is the primary commercial airport serving the Green Bay, Wisconsin area, offering regional and limited national air service.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82b3ef08190bcd24845b4418d47 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36f094888190b3ccb2acb266941c completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 7:41 p.m.