Triple

T18074159
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Bunyoro E432509 entity
Predicate peopleDemonym P21261 FINISHED
Object Banyoro NE NERFINISHED

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: Banyoro | Statement: [Kingdom of Bunyoro, peopleDemonym, Banyoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banyoro
Context triple: [Kingdom of Bunyoro, peopleDemonym, Banyoro]
  • A. Bunyoro chosen
    Bunyoro is a traditional kingdom and historical region in western Uganda that was once a powerful pre-colonial African state.
  • B. Bafumbira
    Bafumbira are a Bantu-speaking ethnic group closely related to the Banyarwanda and Barundi, known for inhabiting the hilly border region where Uganda meets Rwanda and the Democratic Republic of Congo.
  • C. Butiama
    Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
  • D. Runyankole
    Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
  • E. Rubaga
    Rubaga is a historic hill and neighborhood in Kampala, Uganda, known for hosting the Rubaga Cathedral and serving as a significant center of the Catholic Church in the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccefcdc4819086d0b224731bfc4d completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.