Triple

T5731471
Position Surface form Disambiguated ID Type / Status
Subject CYHM E126392 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: [CYHM, focusCityFor, Flair Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flair Airlines
Context triple: [CYHM, 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. 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.
  • C. 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.
  • D. 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.
  • E. Coral Sun Airways
    Coral Sun Airways is a regional airline based in Kiribati that operates domestic flights connecting islands such as Tabiteuea.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02532fd308190a7434dd42a55e9ac completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a906e008190bd2b9a3481733f14 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:47 p.m.