Triple

T13843491
Position Surface form Disambiguated ID Type / Status
Subject Kasese E332728 entity
Predicate hasMarket P2714 FINISHED
Object Kasese Central Market
Kasese Central Market is a major commercial hub in Kasese, Uganda, where local traders sell a wide variety of agricultural produce, household goods, and everyday commodities.
E332728 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: Kasese Central Market | Statement: [Kasese, hasMarket, Kasese Central Market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kasese Central Market
Context triple: [Kasese, hasMarket, Kasese Central Market]
  • A. Kasese
    Kasese is a town in western Uganda that serves as a key gateway to Queen Elizabeth National Park and the Rwenzori Mountains.
  • B. Kejetia Market
    Kejetia Market is one of West Africa’s largest open-air markets, a bustling commercial hub in Kumasi known for its dense maze of stalls and vibrant local trade.
  • C. Lyantonde
    Lyantonde is a town and district in central Uganda, situated within the traditional kingdom region of Buganda.
  • D. Soroti
    Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
  • E. 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.
  • 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: Kasese Central Market
Triple: [Kasese, hasMarket, Kasese Central Market]
Generated description
Kasese Central Market is a major commercial hub in Kasese, Uganda, where local traders sell a wide variety of agricultural produce, household goods, and everyday commodities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kasese Central Market
Target entity description: Kasese Central Market is a major commercial hub in Kasese, Uganda, where local traders sell a wide variety of agricultural produce, household goods, and everyday commodities.
  • A. Kasese chosen
    Kasese is a town in western Uganda that serves as a key gateway to Queen Elizabeth National Park and the Rwenzori Mountains.
  • B. Kejetia Market
    Kejetia Market is one of West Africa’s largest open-air markets, a bustling commercial hub in Kumasi known for its dense maze of stalls and vibrant local trade.
  • C. Lyantonde
    Lyantonde is a town and district in central Uganda, situated within the traditional kingdom region of Buganda.
  • D. Soroti
    Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
  • E. 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.
  • F. None of above.

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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02afce788190a74dce4e6a3569fa completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f87c188190b90faf7678cb9ad4 completed May 3, 2026, 9:07 p.m.
NEDg Description generation batch_69f7b9da1f848190a0c7e8d8a2b0954d completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7bbf47c888190be32a4105903120a completed May 3, 2026, 9:19 p.m.
Created at: April 9, 2026, 10:13 p.m.