Triple

T15745880
Position Surface form Disambiguated ID Type / Status
Subject Rift Valley Province E381719 entity
Predicate containsCounty P5971 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: [Rift Valley Province, containsCounty, Baringo County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baringo County
Context triple: [Rift Valley Province, containsCounty, 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502d72008190b4d13a6b3a12e467 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3b4378c81908850161988a03b9e completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:46 a.m.