Triple

T15985465
Position Surface form Disambiguated ID Type / Status
Subject Nakuru County E387680 entity
Predicate borders P224 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: [Nakuru County, borders, Baringo County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baringo County
Context triple: [Nakuru County, borders, 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. 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.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157589d78819091f7b9b1081dd6ad completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bafb761881908e7a891ef390982a completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 4:54 a.m.