Triple

T1722003
Position Surface form Disambiguated ID Type / Status
Subject Airbus A300 E37411 entity
Predicate usedBy P260 FINISHED
Object Japan Airlines E12451 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: Japan Airlines | Statement: [Airbus A300, usedBy, Japan Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan Airlines
Context triple: [Airbus A300, usedBy, 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. 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.
  • C. JAL
    JAL is the vehicle registration code used on license plates issued in the Mexican state of Jalisco.
  • D. Japan Transocean Air
    Japan Transocean Air is a Japanese regional airline that primarily operates domestic routes, especially serving the Okinawa region.
  • E. Skymark Airlines
    Skymark Airlines is a Japanese low-cost carrier based in Tokyo that operates domestic flights and some international services.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635703dc8190809260de43b72ea3 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5be1a2c819083b95d55c969b9d6 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:30 p.m.