Triple

T15765367
Position Surface form Disambiguated ID Type / Status
Subject 中部国際空港 E382205 entity
Predicate hubFor P423 FINISHED
Object ANAグループ E261443 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: ANAグループ | Statement: [中部国際空港, hubFor, ANAグループ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANAグループ
Context triple: [中部国際空港, hubFor, ANAグループ]
  • A. ANA Group chosen
    ANA Group is a major Japanese aviation conglomerate centered around All Nippon Airways, operating passenger and cargo airlines as well as related aviation services.
  • B. Austin Group
    The Austin Group is a joint working group of IEEE, The Open Group, and ISO/IEC responsible for developing and standardizing the core POSIX and Single UNIX Specification.
  • C. JR Group
    JR Group is a collective of regional passenger railway companies in Japan that emerged from the privatization of the former Japanese National Railways.
  • D. Keihan Group
    Keihan Group is a Japanese corporate conglomerate centered on the Keihan Electric Railway that operates transportation, real estate, retail, and leisure businesses in the Kansai region.
  • E. au Group
    au Group is a Japanese telecommunications and mobile services brand group centered around KDDI Corporation, offering a wide range of communication, internet, and related digital 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b8154881908afe5191e6424f15 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87789914819097b56482cb8984c7 completed May 9, 2026, 7:14 p.m.
Created at: April 10, 2026, 4:47 a.m.