Triple

T13077698
Position Surface form Disambiguated ID Type / Status
Subject Kabale E329619 entity
Predicate roadConnection P385 FINISHED
Object Mbarara
Mbarara is a major city in southwestern Uganda that serves as a key commercial and transport hub for the region.
 E1023322 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: Mbarara | Statement: [Kabale, roadConnection, Mbarara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mbarara
Context triple: [Kabale, roadConnection, Mbarara]
  • A. Soroti
    Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
  • B. Kasese
    Kasese is a town in western Uganda that serves as a key gateway to Queen Elizabeth National Park and the Rwenzori Mountains.
  • C. Nsukwa
    Nsukwa is a town in Aniocha South Local Government Area of Delta State, Nigeria, known as one of the traditional Igbo communities in the region.
  • D. Nalubaale
    Nalubaale is the traditional Luganda name for Lake Victoria, one of Africa’s Great Lakes and the world’s largest tropical lake.
  • E. Mufulira
    Mufulira is a mining town in northern Zambia known for its large copper mines and role in the country's Copperbelt region.
  • 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: Mbarara
Triple: [Kabale, roadConnection, Mbarara]
Generated description
Mbarara is a major city in southwestern Uganda that serves as a key commercial and transport hub for the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mbarara
Target entity description: Mbarara is a major city in southwestern Uganda that serves as a key commercial and transport hub for the region.
  • A. Soroti
    Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
  • B. Kasese
    Kasese is a town in western Uganda that serves as a key gateway to Queen Elizabeth National Park and the Rwenzori Mountains.
  • C. Nsukwa
    Nsukwa is a town in Aniocha South Local Government Area of Delta State, Nigeria, known as one of the traditional Igbo communities in the region.
  • D. Nalubaale
    Nalubaale is the traditional Luganda name for Lake Victoria, one of Africa’s Great Lakes and the world’s largest tropical lake.
  • E. Mufulira
    Mufulira is a mining town in northern Zambia known for its large copper mines and role in the country's Copperbelt region.
  • 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.