Triple

T4179132
Position Surface form Disambiguated ID Type / Status
Subject Antalya Airport E86549 entity
Predicate hubFor P423 FINISHED
Object Corendon Airlines E408446 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: Corendon Airlines | Statement: [Antalya Airport, hubFor, Corendon Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corendon Airlines
Context triple: [Antalya Airport, hubFor, Corendon Airlines]
  • A. Corendon Airlines Europe chosen
    Corendon Airlines Europe is a Maltese-based leisure airline that operates charter and scheduled flights across Europe, primarily serving holiday destinations.
  • B. Kel Air
    Kel Air is a Tuareg confederation inhabiting the Aïr Mountains region of northern Niger, known for its nomadic pastoralist traditions and historical role in Saharan trade.
  • C. Dana Air
    Dana Air is a Nigerian domestic airline based in Lagos that operates scheduled passenger services to major cities across the country.
  • D. Sunstate Airlines
    Sunstate Airlines is an Australian regional airline that operates domestic services under the QantasLink brand.
  • E. Flair Airlines
    Flair Airlines is a Canadian ultra-low-cost carrier that operates domestic and select international flights, emphasizing budget-friendly travel options.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af030114c88190b725908a32ace750 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589f5864881909c9fc787dd9b2341 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:45 p.m.