Triple

T8370844
Position Surface form Disambiguated ID Type / Status
Subject HLLB E197448 entity
Predicate alternativeName P39 FINISHED
Object Benina Airport E38756 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: Benina Airport | Statement: [HLLB, alternativeName, Benina Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benina Airport
Context triple: [HLLB, alternativeName, Benina Airport]
  • A. Benina International Airport chosen
    Benina International Airport is the main international airport serving the city of Benghazi in eastern Libya.
  • B. N’Dolo Airport
    N’Dolo Airport is a smaller, secondary airfield serving Kinshasa in the Democratic Republic of the Congo, primarily handling domestic and regional flights.
  • C. Garoua International Airport
    Garoua International Airport is a major airport in northern Cameroon that serves the city of Garoua and functions as an important regional hub for both domestic and international flights.
  • 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. Mpanda Airport
    Mpanda Airport is a regional airport in western Tanzania that serves the town of Mpanda and the surrounding Katavi Region.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a509dc81909e0ea4c66b21d84f completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce395d11748190b7568be1d43d7859 completed April 2, 2026, 9:39 a.m.
Created at: March 30, 2026, 6:01 p.m.