Triple

T11242356
Position Surface form Disambiguated ID Type / Status
Subject CYVR E266100 entity
Predicate focusCityFor P164 FINISHED
Object Flair Airlines 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 Airlines | Statement: [CYVR, focusCityFor, Flair Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flair Airlines
Context triple: [CYVR, focusCityFor, Flair Airlines]
  • 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. Azimuth Airlines
    Azimuth Airlines is a Russian regional airline based in Rostov-on-Don, known for operating domestic and short-haul international routes primarily using Sukhoi Superjet 100 aircraft.
  • D. ATA Airlines
    ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
  • E. Rex Airlines
    Rex Airlines is an Australian regional airline that operates domestic passenger services across multiple states, connecting major cities with regional and remote communities.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91b0b808190bc38008bb344d180 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e509f7d404819086cf5d062edbaff5 completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:30 p.m.