Triple

T18126255
Position Surface form Disambiguated ID Type / Status
Subject Turkwel River E433882 entity
Predicate flowsThrough P225 FINISHED
Object Turkana County 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: Turkana County | Statement: [Turkwel River, flowsThrough, Turkana County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turkana County
Context triple: [Turkwel River, flowsThrough, Turkana County]
  • A. Turkana County chosen
    Turkana County is a vast, arid county in northwestern Kenya known for its pastoralist communities, rich fossil and archaeological sites, and proximity to Lake Turkana.
  • B. Baringo County
    Baringo County is a largely rural county in Kenya’s Rift Valley region, known for its lakes, diverse ethnic communities, and semi-arid landscapes.
  • C. Samburu County
    Samburu County is a sparsely populated county in northern Kenya known for its semi-arid landscapes, wildlife conservancies, and the pastoralist Samburu people.
  • D. Marsabit County
    Marsabit County is a large, sparsely populated county in northern Kenya known for its arid landscapes, diverse ethnic communities, and proximity to major features like Lake Turkana and the Chalbi Desert.
  • E. Elgeyo-Marakwet County
    Elgeyo-Marakwet County is a county in Kenya’s Rift Valley region known for its highland escarpments, athletic talent, and diverse communities including the Tugen people.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddee1efc8190b04324b98de5c9d0 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.