Triple

T3142013
Position Surface form Disambiguated ID Type / Status
Subject Queen Elizabeth National Park E65671 entity
Predicate nearCity P350 FINISHED
Object Bushenyi
Bushenyi is a town in western Uganda that serves as a regional hub and gateway to nearby attractions such as Queen Elizabeth National Park.
E332729 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: Bushenyi | Statement: [Queen Elizabeth National Park, nearCity, Bushenyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bushenyi
Context triple: [Queen Elizabeth National Park, nearCity, Bushenyi]
  • A. Gwanda
    Gwanda is a small Zimbabwean town that serves as an administrative and commercial hub in the country’s arid south, known historically for cattle ranching and gold mining.
  • B. Runyankole
    Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
  • C. Soroti
    Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
  • D. Kalangala
    Kalangala is a town on Uganda’s Ssese Islands in Lake Victoria, serving as the administrative and commercial center of Kalangala District.
  • E. Chinhoyi
    Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
  • 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: Bushenyi
Triple: [Queen Elizabeth National Park, nearCity, Bushenyi]
Generated description
Bushenyi is a town in western Uganda that serves as a regional hub and gateway to nearby attractions such as Queen Elizabeth National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bushenyi
Target entity description: Bushenyi is a town in western Uganda that serves as a regional hub and gateway to nearby attractions such as Queen Elizabeth National Park.
  • A. Gwanda
    Gwanda is a small Zimbabwean town that serves as an administrative and commercial hub in the country’s arid south, known historically for cattle ranching and gold mining.
  • B. Runyankole
    Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
  • C. Soroti
    Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
  • D. Kalangala
    Kalangala is a town on Uganda’s Ssese Islands in Lake Victoria, serving as the administrative and commercial center of Kalangala District.
  • E. Chinhoyi
    Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada579b07c8190a7b316f499911a2d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e4df38819089d0a11016a85ad8 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b228c1b568819088dc5ce4a15fedc2 completed March 12, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69b22ccd34a8819089e207b6ee1f634a completed March 12, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:05 p.m.