Triple

T10490203
Position Surface form Disambiguated ID Type / Status
Subject Iteso people E247395 entity
Predicate majorKenyanCounty P23957 FINISHED
Object Bungoma County E768593 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: Bungoma County | Statement: [Iteso people, majorKenyanCounty, Bungoma County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bungoma County
Context triple: [Iteso people, majorKenyanCounty, Bungoma County]
  • A. Bungoma County chosen
    Bungoma County is an administrative region in western Kenya known for its agricultural economy and as a political stronghold in the former Western Province.
  • B. Nyamira County
    Nyamira County is an administrative county in western Kenya known for its predominantly Kisii community, hilly highland terrain, and tea and coffee farming.
  • C. Kisumu County
    Kisumu County is a county in western Kenya along Lake Victoria, known as a major economic and political hub and the location of the city of Kisumu.
  • D. Mpigi District
    Mpigi District is an administrative district in central Uganda known for its agricultural activities and proximity to the capital, Kampala.
  • E. Migori County
    Migori County is an administrative region in southwestern Kenya known for its diverse ethnic communities, agriculture, and proximity to Lake Victoria and the Tanzanian border.
  • 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_69d5190da7f081908c38b5964a567e37 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933c5caa08190a5fba92ebf4b0ff9 completed April 10, 2026, 5:30 p.m.
Created at: April 6, 2026, 12:23 p.m.