Triple

T23348459
Position Surface form Disambiguated ID Type / Status
Subject Yaoundé Nsimalen International Airport E591934 entity
Predicate servesAsHubFor P423 FINISHED
Object Camair-Co 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: Camair-Co | Statement: [Yaoundé Nsimalen International Airport, servesAsHubFor, Camair-Co]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camair-Co
Context triple: [Yaoundé Nsimalen International Airport, servesAsHubFor, Camair-Co]
  • A. Camair-Co chosen
    Camair-Co is the national flag carrier airline of Cameroon, operating domestic and regional flights primarily within Central and West Africa.
  • B. Canair
    Canair was a Spanish regional airline that operated inter-island flights in the Canary Islands.
  • C. Consair
    Consair is an abbreviated name historically used for Consolidated Aircraft, a major American aerospace manufacturer known for producing military aircraft such as the B-24 Liberator during World War II.
  • D. Equair
    Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
  • E. Aerograd
    Aerograd is a 1935 Soviet science fiction and propaganda film directed by Alexander Dovzhenko, set in a futuristic Far Eastern border town threatened by foreign and internal enemies.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f199cb2a3c8190a5c0c8d8735256c7 completed April 29, 2026, 5:40 a.m.
Created at: April 17, 2026, 5:19 p.m.