Triple

T17916690
Position Surface form Disambiguated ID Type / Status
Subject Linyanti River E447945 entity
Predicate flowsThrough P225 FINISHED
Object Linyanti Swamp 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: Linyanti Swamp | Statement: [Linyanti River, flowsThrough, Linyanti Swamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linyanti Swamp
Context triple: [Linyanti River, flowsThrough, Linyanti Swamp]
  • A. Linyanti Swamp chosen
    Linyanti Swamp is an extensive wetland system in northern Botswana known for its rich wildlife, seasonal floodplains, and remote safari wilderness.
  • B. Luangwa Valley
    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.
  • C. Sioma
    Sioma is a small town in western Zambia known as a gateway to the scenic Ngonye Falls on the Zambezi River.
  • D. Savuti Marsh
    Savuti Marsh is a renowned wildlife-rich wetland within Chobe National Park in northern Botswana, famous for its dramatic predator-prey interactions and seasonal flooding.
  • E. Ndindi Marsh
    Ndindi Marsh is a significant wetland ecosystem located along Malawi’s Shire River, known for its rich biodiversity and role in supporting local fisheries and wildlife.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a3062bfc819083f7c0521bad4db8 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.