Triple

T8746910
Position Surface form Disambiguated ID Type / Status
Subject PHNL E207852 entity
Predicate isFocusCityFor P1295 FINISHED
Object Asia Pacific Airlines E155388 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: Asia Pacific Airlines | Statement: [PHNL, isFocusCityFor, Asia Pacific Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia Pacific Airlines
Context triple: [PHNL, isFocusCityFor, Asia Pacific Airlines]
  • A. Asia Pacific Airlines chosen
    Asia Pacific Airlines is a cargo and charter airline based in Guam that primarily serves destinations across Micronesia and the Western Pacific region.
  • B. Pan Asia Airlines
    Pan Asia Airlines was the original name of the Japanese regional carrier now known as Solaseed Air, which operates domestic flights primarily in Kyushu and Okinawa.
  • C. Akasa Air
    Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
  • D. Asiana Airlines
    Asiana Airlines is a major South Korean international airline based in Seoul, operating an extensive network of passenger and cargo services across Asia, Europe, North America, and Oceania.
  • E. Jin Air
    Jin Air is a South Korean low-cost airline that operates domestic and international passenger flights.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d75e7c88190a9e78fadb979e1b6 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f0524e08190bc5ba6cda2e2e4fa completed April 3, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:39 p.m.