Triple

T18074118
Position Surface form Disambiguated ID Type / Status
Subject Lukiiko E432508 entity
Predicate associatedWith P37 FINISHED
Object Buganda government 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: Buganda government | Statement: [Lukiiko, associatedWith, Buganda government]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buganda government
Context triple: [Lukiiko, associatedWith, Buganda government]
  • A. Buganda chosen
    Buganda is a traditional Bantu kingdom in central Uganda that is the country’s most populous and historically influential region.
  • B. Buganda chiefs
    Buganda chiefs are traditional hereditary and appointed leaders within the Buganda Kingdom in present-day Uganda, historically central to its governance, land administration, and cultural authority.
  • C. Buganda Land Board
    Buganda Land Board is the institution responsible for managing and administering land and related assets on behalf of the Kingdom of Buganda in Uganda.
  • D. Oginga
    Oginga is the given name of Jaramogi Oginga Odinga, a prominent Kenyan independence leader and the country’s first vice president.
  • E. Bagwere
    The Bagwere are a Bantu-speaking ethnic group in Uganda known for their agricultural livelihoods, clan-based social structure, and rich cultural traditions.
  • 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.