Triple

T8585949
Position Surface form Disambiguated ID Type / Status
Subject Nakasero Hill E203305 entity
Predicate adjacentTo P224 FINISHED
Object Kololo Hill E206537 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: Kololo Hill | Statement: [Nakasero Hill, adjacentTo, Kololo Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kololo Hill
Context triple: [Nakasero Hill, adjacentTo, Kololo Hill]
  • A. Kololo Hill chosen
    Kololo Hill is an upscale residential and diplomatic neighborhood in Kampala, Uganda, known for its embassies, luxury homes, and city views.
  • B. Rubaga Hill
    Rubaga Hill is one of Kampala’s prominent historic hills, known as the seat of the Rubaga Cathedral and a major center of the Catholic Church in Uganda.
  • C. Kibuli Hill
    Kibuli Hill is one of the prominent hills in Kampala, Uganda, known for its historic mosque and significant Muslim community institutions.
  • D. Majuba Hill
    Majuba Hill is a prominent mountain in South Africa historically known as the site of the decisive Battle of Majuba Hill during the First Boer War.
  • E. Nakasero Hill
    Nakasero Hill is an upscale, central neighborhood in Kampala known for hosting government offices, embassies, luxury hotels, and commercial centers.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc457be9b88190bd9a2fc32350c31e completed March 31, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea89e4658819090cc6e94e934670b completed April 2, 2026, 5:34 p.m.
Created at: March 30, 2026, 6:22 p.m.