Triple

T22915299
Position Surface form Disambiguated ID Type / Status
Subject ANA Open E568718 entity
Predicate namedAfter P63 FINISHED
Object All Nippon Airways 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: All Nippon Airways | Statement: [ANA Open, namedAfter, All Nippon Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All Nippon Airways
Context triple: [ANA Open, namedAfter, All Nippon Airways]
  • A. All Nippon Airways chosen
    All Nippon Airways is a major Japanese airline and Star Alliance member known for its extensive domestic and international route network and high service standards.
  • B. Japan Airlines
    Japan Airlines is the flag carrier of Japan, operating an extensive network of domestic and international flights across Asia, Europe, and the Americas.
  • C. Japan Air System
    Japan Air System was a major Japanese domestic airline that operated from 1971 until its 2004 merger into Japan Airlines, known for its colorful liveries and extensive regional network.
  • D. JAL
    JAL is the vehicle registration code used on license plates issued in the Mexican state of Jalisco.
  • E. Asia Pacific Airlines
    Asia Pacific Airlines is a cargo and charter airline based in Guam that primarily serves destinations across Micronesia and the Western Pacific region.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18079217481908db98882929ac69a completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.