Triple

T10924501
Position Surface form Disambiguated ID Type / Status
Subject Kisii District E258030 entity
Predicate borderedBy P224 FINISHED
Object Rachuonyo District E47223 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: Rachuonyo District | Statement: [Kisii District, borderedBy, Rachuonyo District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachuonyo District
Context triple: [Kisii District, borderedBy, Rachuonyo District]
  • A. Rachuonyo District chosen
    Rachuonyo District was a former administrative district in Nyanza Province in western Kenya, known as the birthplace of Barack Obama Sr.
  • B. Nzega District
    Nzega District is an administrative district in central Tanzania known for its rural communities and agriculture, located within the country’s Tabora Region.
  • C. Monywa District
    Monywa District is an administrative district in Myanmar’s Sagaing Region, centered around the city of Monywa and known for its agricultural economy and regional trade.
  • D. Buhera District
    Buhera District is an administrative district in eastern Zimbabwe known for its rural communities and agricultural activities.
  • E. Siaya District
    Siaya District was a former administrative district in western Kenya, located in Nyanza Province and inhabited predominantly by the Luo community.
  • 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_69e217369b648190914c58db6f6e0200 completed April 17, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:22 p.m.