Triple

T18198165
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Busoga E435713 entity
Predicate district P2709 FINISHED
Object Bugiri District 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: Bugiri District | Statement: [Kingdom of Busoga, district, Bugiri District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bugiri District
Context triple: [Kingdom of Busoga, district, Bugiri District]
  • A. Bugiri District chosen
    Bugiri District is an administrative district in eastern Uganda, located within the Busoga sub-region and known for its predominantly rural communities and agriculture-based economy.
  • B. Rukiga District
    Rukiga District is a rural administrative district in southwestern Uganda known for its hilly terrain, agriculture-based economy, and proximity to the Rwandan border.
  • C. Kibaale District
    Kibaale District is a rural administrative district in western Uganda known for its agriculture and forested landscapes.
  • D. Mpigi District
    Mpigi District is an administrative district in central Uganda known for its agricultural activities and proximity to the capital, Kampala.
  • E. Sembabule District
    Sembabule District is a rural administrative district in central Uganda known for its cattle-keeping, agriculture, and sparsely populated savannah landscape.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d47f1c819082eec59492497797 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.