Triple

T4528989
Position Surface form Disambiguated ID Type / Status
Subject Inverness Airport E106247 entity
Predicate focusCityFor P164 FINISHED
Object Loganair E17455 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: Loganair | Statement: [Inverness Airport, focusCityFor, Loganair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loganair
Context triple: [Inverness Airport, focusCityFor, Loganair]
  • A. Loganair chosen
    Loganair is a Scottish regional airline that operates domestic and short-haul international flights across the United Kingdom and nearby destinations.
  • B. Flynas
    Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
  • C. Flybe
    Flybe was a British regional airline that operated short-haul flights across the UK and Europe before ceasing operations.
  • D. Crossair
    Crossair was a former Swiss regional airline that served as the main predecessor to Swiss International Air Lines after the collapse of Swissair.
  • E. Ibex Airlines
    Ibex Airlines is a Japanese regional airline that operates domestic routes, often connecting smaller cities and regional airports within Japan.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd5779593081908593537b9239e01b completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacd8d7b0819082c8797a2f819cd5 completed March 20, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:03 p.m.