Triple

T11368607
Position Surface form Disambiguated ID Type / Status
Subject Siaya District E269280 entity
Predicate successor P78 FINISHED
Object Siaya County E826327 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: Siaya County | Statement: [Siaya District, successor, Siaya County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siaya County
Context triple: [Siaya District, successor, Siaya County]
  • A. Siaya County chosen
    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.
  • B. Makueni County
    Makueni County is a semi-arid administrative region in southeastern Kenya known for its agriculture, water-scarcity challenges, and location along key transport and river basins.
  • C. Kisii County
    Kisii County is an administrative county in southwestern Kenya known for its fertile highlands, intensive agriculture, and vibrant Kisii (Abagusii) community.
  • D. Murang’a County
    Murang’a County is an agricultural county in Kenya’s central region, known historically as part of the Kikuyu heartland and for its tea and coffee farming.
  • E. Busia County
    Busia County is a county in western Kenya bordering Uganda, known for its diverse ethnic communities and its role as a key cross-border trade hub.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea89e1148190b0ca29db9d7e2cbd completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58bdaabd48190ab533c1c7f3b5fd8 completed April 20, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:33 p.m.