Triple

T9369274
Position Surface form Disambiguated ID Type / Status
Subject Wakiso District E225487 entity
Predicate borders P224 FINISHED
Object Mpigi District E744371 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: Mpigi District | Statement: [Wakiso District, borders, Mpigi District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mpigi District
Context triple: [Wakiso District, borders, Mpigi District]
  • A. Mpigi District chosen
    Mpigi District is an administrative district in central Uganda known for its agricultural activities and proximity to the capital, Kampala.
  • B. Lyantonde District
    Lyantonde District is an administrative district in southern Uganda known for its location along the Kampala–Mbarara highway and its predominantly agricultural economy.
  • C. Mubende District
    Mubende District is an administrative district in central Uganda known for its agricultural activities and strategic location along major transport routes.
  • D. Mwanga District
    Mwanga District is an administrative district in northeastern Tanzania, located within the Kilimanjaro Region near the border with Kenya.
  • E. Nyanga District
    Nyanga District is an administrative district in northeastern Zimbabwe known for its mountainous landscapes and popular tourist attractions such as Nyanga National Park.
  • 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_69d12212507c819092e5153fee7eead4 completed April 4, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:43 p.m.