Triple

T11409582
Position Surface form Disambiguated ID Type / Status
Subject Edinburgh Airport E270332 entity
Predicate focusCityFor P164 FINISHED
Object Jet2.com E8498 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: Jet2.com | Statement: [Edinburgh Airport, focusCityFor, Jet2.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jet2.com
Context triple: [Edinburgh Airport, focusCityFor, Jet2.com]
  • A. Jet2.com chosen
    Jet2.com is a British low-cost leisure airline that operates scheduled and charter flights across Europe from multiple UK bases.
  • B. Jet2holidays
    Jet2holidays is a UK-based package holiday provider offering flights, accommodation, and transfers to popular leisure destinations, primarily served by its sister airline Jet2.com.
  • C. easyJet
    easyJet is a major British low-cost airline operating extensive domestic and European routes.
  • D. TUI Airways
    TUI Airways is a British charter and scheduled airline that primarily serves leisure destinations across Europe and worldwide as part of the TUI Group.
  • E. Wizz Air
    Wizz Air is a Hungarian ultra-low-cost airline known for operating an extensive network of budget flights across Europe and surrounding regions.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014e72748190a01bde2f0105cedb completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b845ed488190b7680ddf09177ea0 completed April 20, 2026, 5:23 a.m.
Created at: April 8, 2026, 9:34 p.m.