Triple

T19698049
Position Surface form Disambiguated ID Type / Status
Subject Komatsu Airport E473014 entity
Predicate usedByAirline P12356 FINISHED
Object Japan Airlines 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: Japan Airlines | Statement: [Komatsu Airport, usedByAirline, Japan Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan Airlines
Context triple: [Komatsu Airport, usedByAirline, Japan Airlines]
  • A. Japan Airlines chosen
    Japan Airlines is the flag carrier of Japan, operating an extensive network of domestic and international flights across Asia, Europe, and the Americas.
  • B. 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.
  • C. All Nippon Airways
    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.
  • D. JAL
    JAL is the vehicle registration code used on license plates issued in the Mexican state of Jalisco.
  • E. Hokkaido International Airlines
    Hokkaido International Airlines, now operating as Air Do, is a Japanese regional airline primarily serving routes between Hokkaido and major cities such as Tokyo.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b2baec81909ee2cd6ead632836 completed April 20, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:46 p.m.