Triple

T2358937
Position Surface form Disambiguated ID Type / Status
Subject Hussein Onyango Obama E47224 entity
Predicate residence P75 FINISHED
Object Siaya District E269280 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: Siaya District | Statement: [Hussein Onyango Obama, residence, Siaya District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siaya District
Context triple: [Hussein Onyango Obama, residence, Siaya District]
  • A. Siaya District chosen
    Siaya District was a former administrative district in western Kenya, located in Nyanza Province and inhabited predominantly by the Luo community.
  • 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. 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. 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.
  • 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_69af1f7ac4c8819091132fa9cb265552 completed March 9, 2026, 7:28 p.m.
Created at: March 4, 2026, 7:55 p.m.