Triple

T2719073
Position Surface form Disambiguated ID Type / Status
Subject Nnamdi Azikiwe International Airport E60037 entity
Predicate isHubFor P423 FINISHED
Object Arik Air E289825 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: Arik Air | Statement: [Nnamdi Azikiwe International Airport, isHubFor, Arik Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arik Air
Context triple: [Nnamdi Azikiwe International Airport, isHubFor, Arik Air]
  • A. Arik Air chosen
    Arik Air is a Nigerian airline that operates domestic, regional, and international flights, and is one of the country’s major carriers.
  • B. Alia Airlines
    Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
  • C. Nile Air
    Nile Air is a privately owned Egyptian airline that operates domestic and regional flights across the Middle East, North Africa, and parts of Europe.
  • D. Sudan Airways
    Sudan Airways is the national flag carrier airline of Sudan, operating domestic and international flights primarily across Africa and the Middle East.
  • E. Oman Air
    Oman Air is the national airline of Oman, operating regional and international flights from its main hub in Muscat.
  • 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_69afc033d94481908e4709529ab93442 completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:55 p.m.