Triple

T2358926
Position Surface form Disambiguated ID Type / Status
Subject Hussein Onyango Obama E47224 entity
Predicate placeOfDeath P21 FINISHED
Object Nyanza Province E237667 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: Nyanza Province | Statement: [Hussein Onyango Obama, placeOfDeath, Nyanza Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyanza Province
Context triple: [Hussein Onyango Obama, placeOfDeath, Nyanza Province]
  • A. Loja Province
    Loja Province is a region in southern Ecuador known for its mountainous landscapes, cultural heritage, and the city of Loja, a historic center of music and the arts.
  • B. Nyanza region chosen
    Nyanza region is an area in western Kenya along Lake Victoria, known for its predominantly Luo population and the city of Kisumu as its main urban center.
  • C. Simiyu Region
    Simiyu Region is an administrative region in northern Tanzania known for its predominantly rural economy based on agriculture and livestock.
  • D. Tak Province
    Tak Province is a mountainous region in western Thailand known for its diverse ethnic communities, including a significant Karen population, and its forests, waterfalls, and border trade with Myanmar.
  • E. Tabora Region
    Tabora Region is an inland administrative region in western Tanzania known historically as a key hub for trade and rail transport.
  • 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.