Triple

T1895351
Position Surface form Disambiguated ID Type / Status
Subject Kansai International Airport E41967 entity
Predicate hubFor P423 FINISHED
Object Peach Aviation E46001 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: Peach Aviation | Statement: [Kansai International Airport, hubFor, Peach Aviation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peach Aviation
Context triple: [Kansai International Airport, hubFor, Peach Aviation]
  • A. Peach Aviation chosen
    Peach Aviation is a Japanese low-cost airline based in Osaka that operates domestic and international flights primarily across East Asia.
  • B. McGee Airways
    McGee Airways was an early Alaskan airline founded in the 1930s that evolved through mergers and rebranding into what is now Alaska Airlines.
  • C. Tʼway Air
    Tʼway Air is a South Korean low-cost airline operating domestic and international routes across Asia and the Pacific.
  • D. Republic Airways
    Republic Airways is a U.S. regional airline that operates feeder flights for major carriers under various brand agreements.
  • E. Frontal Aviation
    Frontal Aviation was the tactical air arm of the Soviet Air Forces, responsible for providing air support and conducting operations in direct coordination with ground forces.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb16d6674819084a891e3bf23bd83 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaebd5ec8190897619628f7b821d completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:35 p.m.