Triple

T19609465
Position Surface form Disambiguated ID Type / Status
Subject Mfuwe E470690 entity
Predicate hasTransport P1298 FINISHED
Object Mfuwe Airport 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: Mfuwe Airport | Statement: [Mfuwe, hasTransport, Mfuwe Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mfuwe Airport
Context triple: [Mfuwe, hasTransport, Mfuwe Airport]
  • A. Mfuwe Airport chosen
    Mfuwe Airport is a small international airport in eastern Zambia that serves as the primary gateway for tourists visiting South Luangwa National Park and the surrounding safari lodges.
  • B. Speke Airport
    Speke Airport was the original name of the international airport serving Liverpool, England, now known as Liverpool John Lennon Airport.
  • C. Mzuzu Airport
    Mzuzu Airport is a small public airport serving the city of Mzuzu in northern Malawi, providing regional air connectivity.
  • D. Kigoma Airport
    Kigoma Airport is a public airport in western Tanzania that serves the town of Kigoma on the shores of Lake Tanganyika.
  • E. Mongu Airport
    Mongu Airport is a small regional airport in Mongu, western Zambia, providing air transport links for the town and surrounding Barotse Floodplain area.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640ca57a081909c05000fca52271f completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.