Triple

T14796319
Position Surface form Disambiguated ID Type / Status
Subject Oyugis E347786 entity
Predicate locatedIn P40 FINISHED
Object Homa Bay County E263452 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: Homa Bay County | Statement: [Oyugis, locatedIn, Homa Bay County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Homa Bay County
Context triple: [Oyugis, locatedIn, Homa Bay County]
  • A. Homa Bay District chosen
    Homa Bay District was a former administrative district in western Kenya located along the shores of Lake Victoria in Nyanza Province.
  • B. Siaya County
    Siaya County is an administrative county in western Kenya, located along the shores of Lake Victoria and known as the birthplace of several prominent Kenyan political figures.
  • C. Kirinyaga County
    Kirinyaga County is an administrative region in central Kenya known for its fertile agricultural land on the slopes of Mount Kenya and its production of tea, coffee, and horticultural crops.
  • D. Kisii County
    Kisii County is an administrative county in southwestern Kenya known for its fertile highlands, intensive agriculture, and vibrant Kisii (Abagusii) community.
  • E. 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.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd5fdd548190a2ee5e668c2b20b4 completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c0beb0819081a124479a849bb6 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.