Triple

T2358901
Position Surface form Disambiguated ID Type / Status
Subject Rachuonyo District E47223 entity
Predicate borderedBy P224 FINISHED
Object Nyamira District E258030 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: Nyamira District | Statement: [Rachuonyo District, borderedBy, Nyamira District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyamira District
Context triple: [Rachuonyo District, borderedBy, Nyamira District]
  • A. Kisii District chosen
    Kisii District was a former administrative district in southwestern Kenya, inhabited mainly by the Kisii (Abagusii) people and centered around the town of Kisii.
  • B. Uvinza District
    Uvinza District is an administrative district in western Tanzania known for its salt production and location along the Central Railway line.
  • C. Igunga District
    Igunga District is an administrative district in central Tanzania known for its agriculture-based economy and location within the Tabora Region.
  • D. Kibondo District
    Kibondo District is an administrative district in western Tanzania’s Kigoma Region, known for its rural communities and proximity to refugee settlements near the Burundi border.
  • E. Singida Region
    Singida Region is an administrative region in central Tanzania known for its semi-arid climate, agriculture, and role as a transport crossroads.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc720b9048190a5d3b19e5e1f373a completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea88cf3308190bdb5aac38aded823 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:55 p.m.