Triple

T782256
Position Surface form Disambiguated ID Type / Status
Subject TUI Airways E16522 entity
Predicate formerName P65 FINISHED
Object Britannia Airways E16522 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: Britannia Airways | Statement: [TUI Airways, formerName, Britannia Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Britannia Airways
Context triple: [TUI Airways, formerName, Britannia Airways]
  • A. British Airways
    British Airways is the United Kingdom’s flag carrier airline and one of Europe’s largest international airlines, operating an extensive global network from its main hub at London Heathrow Airport.
  • B. Virgin Atlantic
    Virgin Atlantic is a British long-haul airline known for its transatlantic flights, distinctive branding, and innovative in-flight services.
  • C. TUI Airways chosen
    TUI Airways is a British charter and scheduled airline that primarily serves leisure destinations across Europe and worldwide as part of the TUI Group.
  • D. Air Union
    Air Union was a pioneering French airline of the early 20th century that became one of the key predecessors of Air France.
  • E. Aer Lingus
    Aer Lingus is the flag carrier airline of Ireland, operating international flights primarily between Ireland, Europe, and North America.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a765ba688190ab328bb159583077 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3afbb0c8190b4e7aa7824c8b787 completed March 4, 2026, 3:14 a.m.
Created at: March 1, 2026, 7:37 p.m.