Triple

T10924502
Position Surface form Disambiguated ID Type / Status
Subject Kisii District E258030 entity
Predicate borderedBy P224 FINISHED
Object Migori District E814175 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: Migori District | Statement: [Kisii District, borderedBy, Migori District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Migori District
Context triple: [Kisii District, borderedBy, Migori District]
  • A. Migori County chosen
    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.
  • B. Kisii District
    Kisii District was a former administrative district in southwestern Kenya, inhabited mainly by the Kisii (Abagusii) people and centered around the town of Kisii.
  • 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. Homa Bay District
    Homa Bay District was a former administrative district in western Kenya located along the shores of Lake Victoria in Nyanza Province.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708f7ab48190b60a4bb8fdb17c8e completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e46283f41c8190ac3e1f196c5e4ca0 completed April 19, 2026, 5:05 a.m.
Created at: April 8, 2026, 9:22 p.m.