Triple

T19638109
Position Surface form Disambiguated ID Type / Status
Subject Mfuwe Airport E471455 entity
Predicate regionServed P82 FINISHED
Object Luangwa Valley 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: Luangwa Valley | Statement: [Mfuwe Airport, regionServed, Luangwa Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luangwa Valley
Context triple: [Mfuwe Airport, regionServed, Luangwa Valley]
  • A. Luangwa Valley chosen
    Luangwa Valley is a wildlife-rich rift valley in eastern Zambia, renowned for its unspoiled ecosystems and major national parks such as South Luangwa and North Luangwa.
  • B. Linyanti Swamp
    Linyanti Swamp is an extensive wetland system in northern Botswana known for its rich wildlife, seasonal floodplains, and remote safari wilderness.
  • C. Zambezi Valley
    The Zambezi Valley is a vast, wildlife-rich river valley in southern Africa, known for its dramatic landscapes along the Zambezi River and protected areas such as Mana Pools.
  • D. Kafue Flats
    Kafue Flats is a vast floodplain and wetland ecosystem in Zambia known for its rich biodiversity, seasonal flooding, and important wildlife habitats.
  • E. Sioma
    Sioma is a small town in western Zambia known as a gateway to the scenic Ngonye Falls on the Zambezi River.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64107f3fc8190ace6ae67287d280c completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.