Triple

T20628103
Position Surface form Disambiguated ID Type / Status
Subject Greater Kampala Metropolitan Area E506873 entity
Predicate contains P35 FINISHED
Object Nansana 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: Nansana | Statement: [Greater Kampala Metropolitan Area, contains, Nansana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nansana
Context triple: [Greater Kampala Metropolitan Area, contains, Nansana]
  • A. Nansana chosen
    Nansana is a rapidly growing urban municipality in Uganda that forms part of the Greater Kampala metropolitan area.
  • B. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • C. Sanyati
    Sanyati is a small town in Zimbabwe known for its agricultural activities and location within Mashonaland West Province.
  • D. Yumbe
    Yumbe is a town in northern Uganda that serves as an important local administrative and commercial center near the border with South Sudan.
  • E. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe645888190b639ebedc5b3041a completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.