Triple

T8585950
Position Surface form Disambiguated ID Type / Status
Subject Nakasero Hill E203305 entity
Predicate adjacentTo P224 FINISHED
Object Old Kampala E203306 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: Old Kampala | Statement: [Nakasero Hill, adjacentTo, Old Kampala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Kampala
Context triple: [Nakasero Hill, adjacentTo, Old Kampala]
  • A. Old Kampala Hill chosen
    Old Kampala Hill is a prominent historic hill in Uganda’s capital city, known as the original center of Kampala and home to notable landmarks such as the Uganda National Mosque.
  • B. Kampala
    Kampala is the capital and largest city of Uganda, serving as the country’s political, economic, and cultural center.
  • C. Entebbe
    Entebbe is a town in central Uganda on a peninsula into Lake Victoria, known for its international airport and the site of the 1976 hostage-rescue operation.
  • D. Kampala Capital City Authority
    Kampala Capital City Authority is the administrative body responsible for managing and overseeing the governance, infrastructure, and development of Uganda’s capital city, Kampala.
  • E. Kalangoya
    Kalangoya is an alternative name for the Kalanguya language, an Austronesian language spoken by indigenous communities in the northern Philippines.
  • 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.