Triple

T1258771
Position Surface form Disambiguated ID Type / Status
Subject Japan Airlines E12451 entity
Predicate nativeName P15 FINISHED
Object 日本航空株式会社 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: 日本航空株式会社 | Statement: [Japan Airlines, nativeName, 日本航空株式会社]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 日本航空株式会社
Context triple: [Japan Airlines, nativeName, 日本航空株式会社]
  • 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. Kansai Airports
    Kansai Airports is the private consortium responsible for managing and operating major airports in Japan’s Kansai region, including Kansai International Airport.
  • D. Aichi Kokuki
    Aichi Kokuki was a Japanese aircraft manufacturer best known for producing naval aircraft for the Imperial Japanese Navy before and during World War II.
  • E. Amakusa Airlines
    Amakusa Airlines is a small Japanese regional airline based in Kumamoto Prefecture that operates domestic routes connecting remote islands and regional cities.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc3a2848190891e73b351019d5b completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93cdba808190b7d164bb98efe3dc completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:50 p.m.