Triple

T12294659
Position Surface form Disambiguated ID Type / Status
Subject Jinja District E293051 entity
Predicate majorEthnicGroup P1898 FINISHED
Object Basoga E935945 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: Basoga | Statement: [Jinja District, majorEthnicGroup, Basoga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basoga
Context triple: [Jinja District, majorEthnicGroup, Basoga]
  • A. Basoga chosen
    The Basoga are a Bantu-speaking ethnic group predominantly inhabiting Uganda’s Busoga region, known for their rich cultural traditions and use of the Lusoga language.
  • B. Dagomba
    Dagomba refers to an ethnic group primarily found in northern Ghana, known for their rich cultural traditions, chieftaincy system, and use of the Dagbani language.
  • C. Inibaloi
    Inibaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in Benguet province on Luzon.
  • D. Mbundu
    Mbundu is a major Bantu ethnic group of Angola, known for its distinct language and significant cultural and historical influence in the region.
  • E. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed7251c8190b94d7cd75ad49b9c completed April 10, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e79bf548190bf7f314222ed1ed1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.