Triple

T9048480
Position Surface form Disambiguated ID Type / Status
Subject NH E216819 entity
Predicate associatedWith P37 FINISHED
Object ANA Holdings Inc. E216821 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 Holdings Inc. | Statement: [NH, associatedWith, ANA Holdings Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANA Holdings Inc.
Context triple: [NH, associatedWith, ANA Holdings Inc.]
  • A. ANA Holdings Inc. chosen
    ANA Holdings Inc. is a Japanese aviation holding company that owns and oversees All Nippon Airways and related airline and travel businesses.
  • B. Asahi Group Holdings
    Asahi Group Holdings is a major Japanese beverage and food company best known globally for its beer brands and international brewery acquisitions.
  • C. Dana Holding Corporation
    Dana Holding Corporation is a global supplier of driveline, sealing, and thermal-management technologies for automotive and commercial vehicle manufacturers.
  • D. NII Holdings
    NII Holdings was a telecommunications company best known for providing mobile and push-to-talk services under the Nextel brand in Latin American markets.
  • E. Nikkei Inc.
    Nikkei Inc. is a major Japanese media and financial information company best known for publishing the Nikkei newspaper and owning the Financial Times.
  • 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_69cfebc0fd648190b0dd6cf62605b98f completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:09 p.m.