Triple

T10483478
Position Surface form Disambiguated ID Type / Status
Subject Kalenjin people E247230 entity
Predicate region P40 FINISHED
Object Baringo County E866842 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: Baringo County | Statement: [Kalenjin people, region, Baringo County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baringo County
Context triple: [Kalenjin people, region, Baringo County]
  • A. Baringo County chosen
    Baringo County is a largely rural county in Kenya’s Rift Valley region, known for its lakes, diverse ethnic communities, and semi-arid landscapes.
  • B. Turkana County
    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.
  • C. Narok County
    Narok County is a county in southwestern Kenya known for its vast savannah landscapes, rich Maasai culture, and world-famous wildlife tourism.
  • D. 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.
  • E. 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.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509678ac88190984f18a2162e2dcf completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d99884c70481909fb45b7598f84c64 completed April 11, 2026, 12:40 a.m.
Created at: April 6, 2026, 12:22 p.m.