Triple

T9369276
Position Surface form Disambiguated ID Type / Status
Subject Wakiso District E225487 entity
Predicate borders P224 FINISHED
Object Mityana District E744373 NE FINISHED

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: Mityana District | Statement: [Wakiso District, borders, Mityana District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mityana District
Context triple: [Wakiso District, borders, Mityana District]
  • A. Mityana District chosen
    Mityana District is an administrative district in central Uganda known for its agricultural activities and proximity to the capital, Kampala.
  • B. Manyoni District
    Manyoni District is an administrative district in central Tanzania, known for its location along major transport routes and its largely rural, semi-arid landscape.
  • C. Mlele District
    Mlele District is an administrative district located within Tanzania’s Katavi Region, known for its rural communities and proximity to wildlife-rich protected areas.
  • D. Ukerewe District
    Ukerewe District is an administrative district in Tanzania’s Mwanza Region that encompasses Ukerewe Island and surrounding islands in Lake Victoria.
  • E. Kibondo District
    Kibondo District is an administrative district in western Tanzania’s Kigoma Region, known for its rural communities and proximity to refugee settlements near the Burundi border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5080f55c8190bd5ca0dc0a4ea989 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f40961e88190b12ab78edbebd252 completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:43 p.m.