Triple

T18198169
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Busoga E435713 entity
Predicate district P2709 FINISHED
Object Namayingo 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: Namayingo District | Statement: [Kingdom of Busoga, district, Namayingo District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namayingo District
Context triple: [Kingdom of Busoga, district, Namayingo District]
  • A. Namayingo District chosen
    Namayingo District is an administrative district in eastern Uganda, located along the shores of Lake Victoria and known for its fishing and island communities.
  • B. Luyando District
    Luyando District is an administrative district within Leoncio Prado Province in the Huánuco Region of central Peru.
  • C. Namisindwa District
    Namisindwa District is a rural administrative district in eastern Uganda, located along the country’s border with Kenya.
  • D. Namwala District
    Namwala District is an administrative district in Zambia known for its predominantly Ila-speaking cattle-herding communities and location along the Kafue River floodplains.
  • E. Mpulungu District
    Mpulungu District is an administrative district in Zambia’s Northern Province, known for encompassing the lakeside town and port of Mpulungu on the shores of Lake Tanganyika.
  • 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.