Triple

T2719074
Position Surface form Disambiguated ID Type / Status
Subject Nnamdi Azikiwe International Airport E60037 entity
Predicate isHubFor P423 FINISHED
Object Ibom Air E293088 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: Ibom Air | Statement: [Nnamdi Azikiwe International Airport, isHubFor, Ibom Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibom Air
Context triple: [Nnamdi Azikiwe International Airport, isHubFor, Ibom Air]
  • A. Ibom Air chosen
    Ibom Air is a Nigerian state-owned airline based in Akwa Ibom State that operates domestic and regional passenger flights.
  • B. Air Peace
    Air Peace is a Nigerian airline that operates domestic and regional flights across Africa and beyond.
  • C. Arik Air
    Arik Air is a Nigerian airline that operates domestic, regional, and international flights, and is one of the country’s major carriers.
  • D. Mango Airlines
    Mango Airlines is a South African low-cost airline that operated domestic and regional flights as a budget subsidiary of South African Airways.
  • E. Rex Airlines
    Rex Airlines is an Australian regional airline that operates domestic passenger services across multiple states, connecting major cities with regional and remote communities.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaaee104819085966bc54d5da9c0 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc63dfd4c819093599e6e1f55e9f8 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:55 p.m.