Triple

T20627963
Position Surface form Disambiguated ID Type / Status
Subject Namanve E506869 entity
Predicate nearbyTown P3883 FINISHED
Object Mukono 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: Mukono | Statement: [Namanve, nearbyTown, Mukono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mukono
Context triple: [Namanve, nearbyTown, Mukono]
  • A. Mukono chosen
    Mukono is a town in central Uganda that serves as the administrative and commercial center of Mukono District, located just east of the capital Kampala.
  • B. Masaka
    Masaka is a sector within Kigali, Rwanda, known as an administrative subdivision of Kicukiro District.
  • C. Masaka
    Masaka is a town located within the Karu Local Government Area in central Nigeria.
  • D. Kalangala
    Kalangala is a town on Uganda’s Ssese Islands in Lake Victoria, serving as the administrative and commercial center of Kalangala District.
  • E. Lyantonde
    Lyantonde is a town and district in central Uganda, situated within the traditional kingdom region of Buganda.
  • 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.