Triple

T20425136
Position Surface form Disambiguated ID Type / Status
Subject SKY DUBAI E500977 entity
Predicate associatedAirlineName P12809 FINISHED
Object flydubai 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: flydubai | Statement: [SKY DUBAI, associatedAirlineName, flydubai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: flydubai
Context triple: [SKY DUBAI, associatedAirlineName, flydubai]
  • A. flydubai chosen
    flydubai is a Dubai-based low-cost airline operating an extensive network of regional and international routes, primarily across the Middle East, Asia, Africa, and Europe.
  • B. FlySafair
    FlySafair is a South African low-cost airline known for operating domestic routes with a focus on affordability and reliability.
  • C. Buraq Air
    Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
  • D. Jetairfly
    Jetairfly was the former brand name of TUI fly Belgium, a Belgian leisure airline operating charter and scheduled flights to holiday destinations across Europe and beyond.
  • E. Air Arabia
    Air Arabia is a low-cost airline based in the United Arab Emirates, known for operating budget-friendly flights across the Middle East, North Africa, Asia, and Europe.
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba7afa4819095c9b75fab3cbbfc completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.