Triple

T13593579
Position Surface form Disambiguated ID Type / Status
Subject FVMU E324755 entity
Predicate identifies P310 FINISHED
Object Mutare Airport E64367 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: Mutare Airport | Statement: [FVMU, identifies, Mutare Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mutare Airport
Context triple: [FVMU, identifies, Mutare Airport]
  • A. Mutare Airport chosen
    Mutare Airport is a small public airport serving the city of Mutare in eastern Zimbabwe, primarily handling domestic and regional flights.
  • B. Masvingo Airport
    Masvingo Airport is a small regional airport in Masvingo, Zimbabwe, providing air transport services to the city and surrounding areas.
  • C. Mpanda Airport
    Mpanda Airport is a regional airport in western Tanzania that serves the town of Mpanda and the surrounding Katavi Region.
  • 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. Robert Gabriel Mugabe International Airport
    Robert Gabriel Mugabe International Airport is the main international gateway to Zimbabwe, serving as the primary airport for the capital city, Harare.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae1d1b08190ad07b159ac3eba4b completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:49 p.m.