Triple

T2358921
Position Surface form Disambiguated ID Type / Status
Subject Hussein Onyango Obama E47224 entity
Predicate placeOfBirth P1 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: [Hussein Onyango Obama, placeOfBirth, Rachuonyo District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachuonyo District
Context triple: [Hussein Onyango Obama, placeOfBirth, 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. Urambo District
    Urambo District is an administrative district in western Tanzania known for its rural communities and tobacco farming, located within the Tabora Region.
  • D. Nyando District
    Nyando District was a former administrative district in Kenya’s Nyanza Province, located in the western part of the country near Lake Victoria.
  • E. Igunga District
    Igunga District is an administrative district in central Tanzania known for its agriculture-based economy and location within the Tabora Region.
  • 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_69aef0913e748190bbb5c54b86b415bd completed March 9, 2026, 4:08 p.m.
Created at: March 4, 2026, 7:55 p.m.