Triple

T8585742
Position Surface form Disambiguated ID Type / Status
Subject Buganda E203300 entity
Predicate borderedBy P224 FINISHED
Object Bunyoro
Bunyoro is a traditional kingdom and historical region in western Uganda that was once a powerful pre-colonial African state.
E756987 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: Bunyoro | Statement: [Buganda, borderedBy, Bunyoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bunyoro
Context triple: [Buganda, borderedBy, Bunyoro]
  • A. Nimule
    Nimule is a South Sudanese border town near Uganda that serves as a key trade and transport hub in the region.
  • B. Butiama
    Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
  • C. Nyabira
    Nyabira is a small town in northern Zimbabwe located within Mashonaland West Province, serving as a local commercial and residential center.
  • D. 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.
  • E. Runyankole
    Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
  • 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: Bunyoro
Triple: [Buganda, borderedBy, Bunyoro]
Generated description
Bunyoro is a traditional kingdom and historical region in western Uganda that was once a powerful pre-colonial African state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bunyoro
Target entity description: Bunyoro is a traditional kingdom and historical region in western Uganda that was once a powerful pre-colonial African state.
  • A. Nimule
    Nimule is a South Sudanese border town near Uganda that serves as a key trade and transport hub in the region.
  • B. Butiama
    Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
  • C. Nyabira
    Nyabira is a small town in northern Zimbabwe located within Mashonaland West Province, serving as a local commercial and residential center.
  • D. 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.
  • E. Runyankole
    Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
  • 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_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_69cf5140ec1c8190bbf37d4880191c03 completed April 3, 2026, 5:33 a.m.
NEDg Description generation batch_69cf545edf648190bb7d79a75cd9ba99 completed April 3, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_69cf5513f894819087a2c39142d597b4 completed April 3, 2026, 5:50 a.m.
Created at: March 30, 2026, 6:22 p.m.