Triple

T14796321
Position Surface form Disambiguated ID Type / Status
Subject Oyugis E347786 entity
Predicate locatedInFormerAdministrativeUnit P5057 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: [Oyugis, locatedInFormerAdministrativeUnit, Rachuonyo District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachuonyo District
Context triple: [Oyugis, locatedInFormerAdministrativeUnit, 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. Kyenjojo District
    Kyenjojo District is an administrative district in western Uganda known for its predominantly rural communities and agricultural economy.
  • D. Busia District
    Busia District is an administrative region in western Kenya located along the border with Uganda.
  • E. Busia District
    Busia District is an administrative district in eastern Uganda, bordering Kenya and known 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_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_69feadfd53a48190b7efaa4c470da784 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 1:31 a.m.