Triple

T16621453
Position Surface form Disambiguated ID Type / Status
Subject Britannia Airways E403839 entity
Predicate rebrandedAs P65 FINISHED
Object Thomson Airways E396976 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 Airways | Statement: [Britannia Airways, rebrandedAs, Thomson Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomson Airways
Context triple: [Britannia Airways, rebrandedAs, Thomson Airways]
  • A. Thomson Airways chosen
    Thomson Airways was a major UK-based charter and scheduled leisure airline that operated holiday flights to destinations worldwide before rebranding as TUI Airways.
  • B. Aviaco
    Aviaco was a Spanish airline that operated domestic and regional flights from the mid-20th century until its integration into Iberia.
  • C. Cambrian Airways
    Cambrian Airways was a regional Welsh airline that operated primarily from Cardiff and later became part of the network that formed modern British Airways.
  • 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. Capital Airlines
    Capital Airlines is a Chinese domestic carrier based in Beijing that operates passenger flights to various destinations across China and select international routes.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754e80ec8190b3c66b33dbc7463c completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db27f788190a3c57b7ea8a8a9c6 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.