Triple

T18020554
Position Surface form Disambiguated ID Type / Status
Subject LOGAN E431105 entity
Predicate associatedWith P37 FINISHED
Object Loganair 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: Loganair | Statement: [LOGAN, associatedWith, Loganair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loganair
Context triple: [LOGAN, associatedWith, 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. Caledonian Airways
    Caledonian Airways was a British charter airline that operated primarily holiday and inclusive tour flights before later evolving into the scheduled carrier British Caledonian.
  • C. Flynas
    Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
  • D. Dan‑Air
    Dan-Air was a British independent airline that operated charter and scheduled services from the 1950s until its acquisition by British Airways in 1992.
  • E. Flybe
    Flybe was a British regional airline that operated short-haul flights across the UK and Europe before ceasing operations.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c1c5f88190a059ce4f86f7ed36 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.