Triple

T16120688
Position Surface form Disambiguated ID Type / Status
Subject Flair Airlines E391127 entity
Predicate foundedAs P364 FINISHED
Object Flair Air E91741 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: Flair Air | Statement: [Flair Airlines, foundedAs, Flair Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flair Air
Context triple: [Flair Airlines, foundedAs, Flair Air]
  • A. Flair Airlines chosen
    Flair Airlines is a Canadian ultra-low-cost carrier that operates domestic and select international flights, emphasizing budget-friendly travel options.
  • B. White Airways
    White Airways is a Portuguese charter and regional airline that operates flights on behalf of other carriers, including TAP Express.
  • C. Tʼway Air
    Tʼway Air is a South Korean low-cost airline operating domestic and international routes across Asia and the Pacific.
  • D. Breeze Airways
    Breeze Airways is a U.S.-based low-cost airline founded by aviation entrepreneur David Neeleman, focusing on affordable, nonstop flights between underserved city pairs.
  • E. Eastern Airways
    Eastern Airways is a British regional airline operating scheduled passenger services across the United Kingdom and parts of Europe.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20200acac8190a47e6a917ff8dd34 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ec7cc0881909685923113eaba25 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5 a.m.