Triple

T2603894
Position Surface form Disambiguated ID Type / Status
Subject EXS E58609 entity
Predicate airlineAssociatedBrand P41159 FINISHED
Object Jet2holidays E58612 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: Jet2holidays | Statement: [EXS, airlineAssociatedBrand, Jet2holidays]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jet2holidays
Context triple: [EXS, airlineAssociatedBrand, Jet2holidays]
  • A. Jet2holidays chosen
    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.
  • B. Jet2.com
    Jet2.com is a British low-cost leisure airline that operates scheduled and charter flights across Europe from multiple UK bases.
  • C. easyJet
    easyJet is a major British low-cost airline operating extensive domestic and European routes.
  • D. flyadeal
    flyadeal is a Saudi low-cost airline based in Jeddah that operates domestic and regional flights as part of the Saudia Group.
  • E. trivago
    trivago is a global hotel and accommodation metasearch platform that compares prices from numerous booking sites to help users find and book lodging deals.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdd1ca0248190aa15f80b2798524e completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69af907ebc348190b1556a2104cba6f1 completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:49 p.m.