Triple

T9048548
Position Surface form Disambiguated ID Type / Status
Subject ANA Holdings Inc. E216821 entity
Predicate owns P347 FINISHED
Object ANA Cargo E774473 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 Cargo | Statement: [ANA Holdings Inc., owns, ANA Cargo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANA Cargo
Context triple: [ANA Holdings Inc., owns, ANA Cargo]
  • A. ANA Cargo Inc. chosen
    ANA Cargo Inc. is the air freight and logistics arm of Japan’s All Nippon Airways group, providing international and domestic cargo transport services.
  • B. Northern Air Cargo
    Northern Air Cargo is an Alaska-based cargo airline specializing in freight services across Alaska and to destinations in the continental United States.
  • C. Lufthansa Cargo
    Lufthansa Cargo is the air freight and logistics division of the Lufthansa Group, operating a global network for transporting cargo by air.
  • D. Etihad Cargo
    Etihad Cargo is the freight and logistics division of Etihad Airways, providing global air cargo services across an international network.
  • E. Qatar Airways Cargo
    Qatar Airways Cargo is the dedicated air freight division of Qatar Airways, operating a global network of cargo services using a fleet of freighter aircraft and belly-hold capacity on passenger flights.
  • 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.