Triple

T18010847
Position Surface form Disambiguated ID Type / Status
Subject Savusavu Airport E430872 entity
Predicate hasAirline P35742 FINISHED
Object Northern Air NE NERFINISHED

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: Northern Air | Statement: [Savusavu Airport, hasAirline, Northern Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Air
Context triple: [Savusavu Airport, hasAirline, Northern Air]
  • A. Northern Air chosen
    Northern Air is a regional airline based in Fiji that operates domestic flights connecting smaller islands and remote communities.
  • B. Eastern Airways
    Eastern Airways is a British regional airline operating scheduled passenger services across the United Kingdom and parts of Europe.
  • C. Originair
    Originair is a New Zealand regional airline operating domestic services, particularly within the lower North Island and surrounding regions.
  • D. West Air
    West Air is a Chinese low-cost airline based in Chongqing that operates domestic and regional passenger services.
  • E. McGee Airways
    McGee Airways was an early Alaskan airline founded in the 1930s that evolved through mergers and rebranding into what is now Alaska Airlines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51fc108819089e6c130a89811bc completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.