Triple

T23034831
Position Surface form Disambiguated ID Type / Status
Subject Zia International Airport E573565 entity
Predicate hubFor P423 FINISHED
Object Novoair 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: Novoair | Statement: [Zia International Airport, hubFor, Novoair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novoair
Context triple: [Zia International Airport, hubFor, Novoair]
  • A. Novoair chosen
    Novoair is a Bangladeshi domestic airline known for operating scheduled passenger services primarily within Bangladesh.
  • B. L’Air
    L’Air is a celebrated early 20th-century sculpture by Aristide Maillol that exemplifies his serene, classical approach to the female form.
  • C. J-Air
    J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
  • D. Singulair
    Singulair is a prescription leukotriene receptor antagonist (montelukast) commonly used to prevent and manage asthma and allergy symptoms.
  • E. Canair
    Canair was a Spanish regional airline that operated inter-island flights in the Canary Islands.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18483e5848190977b1bdb1b83d187 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:53 p.m.