Triple

T12039991
Position Surface form Disambiguated ID Type / Status
Subject Bemba language E286634 entity
Predicate alternativeName P39 FINISHED
Object Cibemba E712127 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: Cibemba | Statement: [Bemba language, alternativeName, Cibemba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cibemba
Context triple: [Bemba language, alternativeName, Cibemba]
  • A. Kamwambie
    "Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • B. Mohombi
    Mohombi is a Congolese-Swedish singer, songwriter, and dancer known for his international pop and dance hits blending African and European musical influences.
  • C. Pimbwe
    The Pimbwe are an ethnic group of western Tanzania, traditionally living near Lake Rukwa and known for mixed farming, fishing, and distinctive local cultural practices.
  • D. Lubemba chosen
    Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
  • E. Kilembe
    Kilembe is a town in western Uganda that serves as a common starting point for treks to the Rwenzori Mountains, including ascents of Margherita Peak.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040c1a6c8190aea1388e82dd8f5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f64826a481908a09ca1c91c4e04f completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.