Triple

T16347750
Position Surface form Disambiguated ID Type / Status
Subject Thomson Airways E396976 entity
Predicate brandOf P1500 FINISHED
Object Thomson Holidays E1153309 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: Thomson Holidays | Statement: [Thomson Airways, brandOf, Thomson Holidays]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomson Holidays
Context triple: [Thomson Airways, brandOf, Thomson Holidays]
  • A. Morris Travel
    Morris Travel was a travel agency business that owned and operated Morris Air before the airline was acquired by Southwest Airlines.
  • B. Avalon Travel
    Avalon Travel is a publishing imprint best known for producing travel guides and related travel literature.
  • C. British Airways Holidays
    British Airways Holidays is the tour-operating arm of British Airways that packages flights with hotels, car hire, and other travel services for leisure customers.
  • D. TUI Nederland chosen
    TUI Nederland is a major Dutch travel and tourism company that operates various holiday brands and services as part of the international TUI Group.
  • E. Thomas Cook
    Thomas Cook was a pioneering 19th-century English travel entrepreneur who founded one of the world’s first and most influential travel agencies, helping to popularize organized tourism.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da1038d88190b8292cfe71bc4f2a completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db1cd288190a85fa2479369ef4f completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.