Triple

T4580073
Position Surface form Disambiguated ID Type / Status
Subject Benin City E101832 entity
Predicate hasAirport P105 FINISHED
Object Benin Airport E297338 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: Benin Airport | Statement: [Benin City, hasAirport, Benin Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benin Airport
Context triple: [Benin City, hasAirport, Benin Airport]
  • A. Benin Airport chosen
    Benin Airport is a domestic and regional airport serving the city of Benin City and its surrounding areas in Edo State, Nigeria.
  • B. Lomé–Tokoin International Airport
    Lomé–Tokoin International Airport is the main international airport serving Lomé, the capital city of Togo, and acts as a key air transport hub for the country.
  • C. Benina International Airport
    Benina International Airport is the main international airport serving the city of Benghazi in eastern Libya.
  • D. Léon-Mba International Airport
    Léon-Mba International Airport is the main international gateway to Gabon, serving the capital city of Libreville with both domestic and international flights.
  • E. Akanu Ibiam International Airport
    Akanu Ibiam International Airport is a major airport serving Enugu and the surrounding region in southeastern Nigeria, handling both domestic and international flights.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd58e534708190a1ba9c5a29b3774d completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3f532dc81909b6c464defada832 completed March 20, 2026, 11:10 p.m.
Created at: March 20, 2026, 1:10 p.m.