Triple

T16621980
Position Surface form Disambiguated ID Type / Status
Subject Maria Nyerere E403853 entity
Predicate placeOfActivity P1527 FINISHED
Object Butiama E396759 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: Butiama | Statement: [Maria Nyerere, placeOfActivity, Butiama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butiama
Context triple: [Maria Nyerere, placeOfActivity, Butiama]
  • A. Butiama chosen
    Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
  • B. Butembo
    Butembo is a major commercial city in eastern Democratic Republic of the Congo, known as a trading hub and economic center in North Kivu.
  • C. Gikondo
    Gikondo is an urban sector of Kigali, Rwanda, known for its industrial area and proximity to the city center.
  • D. Rufumbira
    Rufumbira is a Bantu language variety spoken primarily in southwestern Rwanda, closely related to other Rwanda-Rundi dialects.
  • E. 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.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754e80ec8190b3c66b33dbc7463c completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a296a7481908aca94cf3d1f8d3b completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:17 a.m.