Triple

T8701304
Position Surface form Disambiguated ID Type / Status
Subject Kololo Hill E206537 entity
Predicate locatedNear P294 FINISHED
Object Bukoto
Bukoto is a residential and commercial neighborhood in Kampala, Uganda, known for its mix of middle-class housing, local businesses, and proximity to several of the city’s prominent suburbs.
E758013 NE FINISHED

How this triple was built (4 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: Bukoto | Statement: [Kololo Hill, locatedNear, Bukoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukoto
Context triple: [Kololo Hill, locatedNear, Bukoto]
  • A. Nyabira
    Nyabira is a small town in northern Zimbabwe located within Mashonaland West Province, serving as a local commercial and residential center.
  • B. Bunyoro
    Bunyoro is a traditional kingdom and historical region in western Uganda that was once a powerful pre-colonial African state.
  • C. Runyankole
    Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
  • D. Mufulira
    Mufulira is a mining town in northern Zambia known for its large copper mines and role in the country's Copperbelt region.
  • E. Bukoba
    Bukoba is a town on the western shore of Lake Victoria in northwestern Tanzania, serving as the capital of the Kagera Region and a local transport and trade hub.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bukoto
Triple: [Kololo Hill, locatedNear, Bukoto]
Generated description
Bukoto is a residential and commercial neighborhood in Kampala, Uganda, known for its mix of middle-class housing, local businesses, and proximity to several of the city’s prominent suburbs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bukoto
Target entity description: Bukoto is a residential and commercial neighborhood in Kampala, Uganda, known for its mix of middle-class housing, local businesses, and proximity to several of the city’s prominent suburbs.
  • A. Nyabira
    Nyabira is a small town in northern Zimbabwe located within Mashonaland West Province, serving as a local commercial and residential center.
  • B. Bunyoro
    Bunyoro is a traditional kingdom and historical region in western Uganda that was once a powerful pre-colonial African state.
  • C. Runyankole
    Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
  • D. Mufulira
    Mufulira is a mining town in northern Zambia known for its large copper mines and role in the country's Copperbelt region.
  • E. Bukoba
    Bukoba is a town on the western shore of Lake Victoria in northwestern Tanzania, serving as the capital of the Kagera Region and a local transport and trade hub.
  • F. None of above. chosen

Provenance (5 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58b38cf88190bfdcbac9c340cb96 completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6edeef308190b6acfe324552b1cf completed April 3, 2026, 7:40 a.m.
NEDg Description generation batch_69cf70c981808190856827fbcd4c4671 completed April 3, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69cf71914ec48190bd623d8d773e7ca7 completed April 3, 2026, 7:51 a.m.
Created at: March 30, 2026, 6:34 p.m.