Triple

T15139931
Position Surface form Disambiguated ID Type / Status
Subject Arkefly E361656 entity
Predicate alliance P600 FINISHED
Object TUI Airlines 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: TUI Airlines | Statement: [Arkefly, alliance, TUI Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TUI Airlines
Context triple: [Arkefly, alliance, TUI Airlines]
  • A. 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.
  • B. Virgin Atlantic
    Virgin Atlantic is a British long-haul airline known for its transatlantic flights, distinctive branding, and innovative in-flight services.
  • C. 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.
  • D. Ryanair
    Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
  • E. Britannia Airways
    Britannia Airways was a major British charter airline that operated holiday flights across Europe and beyond before being rebranded under the Thomson name.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c46a248190a2364092d40274f3 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed323e5548190902f65db50a36cd4 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:07 a.m.