Triple

T12512173
Position Surface form Disambiguated ID Type / Status
Subject Sam Mbakwe International Cargo Airport E299105 entity
Predicate alsoKnownAs P39 FINISHED
Object Sam Mbakwe Airport E299105 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: Sam Mbakwe Airport | Statement: [Sam Mbakwe International Cargo Airport, alsoKnownAs, Sam Mbakwe Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Mbakwe Airport
Context triple: [Sam Mbakwe International Cargo Airport, alsoKnownAs, Sam Mbakwe Airport]
  • A. Sam Mbakwe International Cargo Airport chosen
    Sam Mbakwe International Cargo Airport is the main airport serving Imo State in southeastern Nigeria, handling both passenger and cargo flights.
  • B. Mpanda Airport
    Mpanda Airport is a regional airport in western Tanzania that serves the town of Mpanda and the surrounding Katavi Region.
  • C. Benina International Airport
    Benina International Airport is the main international airport serving the city of Benghazi in eastern Libya.
  • D. Matadi Tshimpi Airport
    Matadi Tshimpi Airport is a public airport serving the city of Matadi in the Kongo Central Province of the Democratic Republic of the Congo.
  • E. 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.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541d6e508190a4992f328e077467 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b82189081908deb76cdd4e65245 completed May 3, 2026, 12:49 a.m.
Created at: April 8, 2026, 9:57 p.m.