Triple

T13077683
Position Surface form Disambiguated ID Type / Status
Subject Kabale E329619 entity
Predicate partOf P40 FINISHED
Object Kigezi sub-region
Kigezi sub-region is a highland area in southwestern Uganda known for its terraced hills, cool climate, and dense rural population.
 E1023321 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: Kigezi sub-region | Statement: [Kabale, partOf, Kigezi sub-region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kigezi sub-region
Context triple: [Kabale, partOf, Kigezi sub-region]
  • A. Teso sub-region
    The Teso sub-region is an area in eastern Uganda that serves as the cultural and historical homeland of the Iteso people.
  • B. Buganda sub-region
    Buganda sub-region is a historically significant and populous area in central Uganda that largely overlaps with the traditional Kingdom of Buganda, including the capital city Kampala.
  • C. Lango sub-region
    The Lango sub-region is an area in northern Uganda that serves as the traditional homeland of the Lango people, known for its distinct Luo-related language and culture.
  • D. Mafinga region
    Mafinga Region is an administrative area in Tanzania that includes Mafinga Central and surrounding localities.
  • E. Ave Subregion
    Ave Subregion is an administrative and statistical region in northern Portugal known for its industrial cities, historical heritage, and dense urban development.
  • 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: Kigezi sub-region
Triple: [Kabale, partOf, Kigezi sub-region]
Generated description
Kigezi sub-region is a highland area in southwestern Uganda known for its terraced hills, cool climate, and dense rural population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kigezi sub-region
Target entity description: Kigezi sub-region is a highland area in southwestern Uganda known for its terraced hills, cool climate, and dense rural population.
  • A. Teso sub-region
    The Teso sub-region is an area in eastern Uganda that serves as the cultural and historical homeland of the Iteso people.
  • B. Buganda sub-region
    Buganda sub-region is a historically significant and populous area in central Uganda that largely overlaps with the traditional Kingdom of Buganda, including the capital city Kampala.
  • C. Lango sub-region
    The Lango sub-region is an area in northern Uganda that serves as the traditional homeland of the Lango people, known for its distinct Luo-related language and culture.
  • D. Mafinga region
    Mafinga Region is an administrative area in Tanzania that includes Mafinga Central and surrounding localities.
  • E. Ave Subregion
    Ave Subregion is an administrative and statistical region in northern Portugal known for its industrial cities, historical heritage, and dense urban development.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9811828448190ac6ddd3e9c221251 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27058dc8190a64e1a929f296619 completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e6a8b15081908d80cd63b0c423f6 completed May 3, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_69f6e7490cc48190b596338cd3a0fd22 completed May 3, 2026, 6:12 a.m.
Created at: April 9, 2026, 9:01 p.m.