Triple

T13804573
Position Surface form Disambiguated ID Type / Status
Subject Eastern Region of Uganda E331727 entity
Predicate hasEthnicGroup 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: [Eastern Region of Uganda, hasEthnicGroup, Basoga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basoga
Context triple: [Eastern Region of Uganda, hasEthnicGroup, 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. Nkoya
    Nkoya is a Bantu language spoken primarily in western Zambia by the Nkoya people.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08db39c8190a76637b36b77d643 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.