Triple

T23202938
Position Surface form Disambiguated ID Type / Status
Subject Vágar Airport E580367 entity
Predicate hubFor P423 FINISHED
Object Atlantic Airways 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: Atlantic Airways | Statement: [Vágar Airport, hubFor, Atlantic Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlantic Airways
Context triple: [Vágar Airport, hubFor, Atlantic Airways]
  • A. Atlantic Airways chosen
    Atlantic Airways is the national airline of the Faroe Islands, operating domestic helicopter services and international flights primarily within Europe.
  • B. EuroAtlantic Airways
    EuroAtlantic Airways is a Portuguese charter airline known for operating long-haul and wet-lease services for other carriers worldwide.
  • C. Eastern Airways
    Eastern Airways is a British regional airline operating scheduled passenger services across the United Kingdom and parts of Europe.
  • D. Avior Airlines
    Avior Airlines is a Venezuelan airline that operates domestic and international passenger flights, primarily connecting cities within Venezuela to destinations across the Americas.
  • E. Astraeus Airlines
    Astraeus Airlines was a UK-based charter and wet-lease airline known for employing Iron Maiden frontman Bruce Dickinson as a commercial pilot.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907a8bb48190846802a24d33bccf completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.