Triple

T17970289
Position Surface form Disambiguated ID Type / Status
Subject JERSEY E449318 entity
Predicate identifies P310 FINISHED
Object airline operator Flybe NE NERFINISHED

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: airline operator Flybe | Statement: [JERSEY, identifies, airline operator Flybe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: airline operator Flybe
Context triple: [JERSEY, identifies, airline operator Flybe]
  • A. Flybe chosen
    Flybe was a British regional airline that operated short-haul flights across the UK and Europe before ceasing operations.
  • B. Flybe Nordic
    Flybe Nordic was a Finnish regional airline that operated domestic and short-haul international flights in Northern Europe before being rebranded as Nordic Regional Airlines (Norra).
  • C. TUI Airways
    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. Spring Airlines
    Spring Airlines is a Chinese low-cost carrier headquartered in Shanghai, known for operating budget-friendly domestic and regional flights, particularly within East Asia.
  • E. Virgin Atlantic
    Virgin Atlantic is a British long-haul airline known for its transatlantic flights, distinctive branding, and innovative in-flight services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1fa67c48190936f20cea45e4599 completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.