Triple

T9048655
Position Surface form Disambiguated ID Type / Status
Subject ANA Wings E216824 entity
Predicate airlineGroup P26822 FINISHED
Object ANA Group 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 Group | Statement: [ANA Wings, airlineGroup, ANA Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANA Group
Context triple: [ANA Wings, airlineGroup, ANA Group]
  • 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. 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.
  • C. 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.
  • D. ACS Group
    ACS Group is a major Spanish multinational construction and civil engineering company known for its global infrastructure projects and ownership of several large contractors.
  • E. 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.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b51aa708190a37feecfd8deed2f completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdb868e48190b9d193025cb5b9a2 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:09 p.m.