Triple

T18073914
Position Surface form Disambiguated ID Type / Status
Subject Mengo E432504 entity
Predicate nearbyPlace P2064 FINISHED
Object Rubaga
Rubaga is a historic hill and neighborhood in Kampala, Uganda, known for hosting the Rubaga Cathedral and serving as a significant center of the Catholic Church in the country.
 E1303722 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: Rubaga | Statement: [Mengo, nearbyPlace, Rubaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rubaga
Context triple: [Mengo, nearbyPlace, Rubaga]
  • A. Rufumbira
    Rufumbira is a Bantu language variety spoken primarily in southwestern Rwanda, closely related to other Rwanda-Rundi dialects.
  • B. Runyankole
    Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
  • C. Mufulira
    Mufulira is a mining town in northern Zambia known for its large copper mines and role in the country's Copperbelt region.
  • D. Kiryandongo
    Kiryandongo is a town in western Uganda that serves as the administrative and commercial center of Kiryandongo District.
  • E. Murehwa
    Murehwa is a town and rural service center in northeastern Zimbabwe known for its agricultural activities and proximity to traditional Shona cultural sites.
  • 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: Rubaga
Triple: [Mengo, nearbyPlace, Rubaga]
Generated description
Rubaga is a historic hill and neighborhood in Kampala, Uganda, known for hosting the Rubaga Cathedral and serving as a significant center of the Catholic Church in the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rubaga
Target entity description: Rubaga is a historic hill and neighborhood in Kampala, Uganda, known for hosting the Rubaga Cathedral and serving as a significant center of the Catholic Church in the country.
  • A. Rufumbira
    Rufumbira is a Bantu language variety spoken primarily in southwestern Rwanda, closely related to other Rwanda-Rundi dialects.
  • B. Runyankole
    Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
  • C. Mufulira
    Mufulira is a mining town in northern Zambia known for its large copper mines and role in the country's Copperbelt region.
  • D. Kiryandongo
    Kiryandongo is a town in western Uganda that serves as the administrative and commercial center of Kiryandongo District.
  • E. Murehwa
    Murehwa is a town and rural service center in northeastern Zimbabwe known for its agricultural activities and proximity to traditional Shona cultural sites.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccefcdc4819086d0b224731bfc4d completed April 19, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03567685fc8190a63da27de99a1101 completed May 12, 2026, 4:33 p.m.
NEDg Description generation batch_6a0357dd52dc8190990b5dc2fe1b4720 completed May 12, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_6a03585051d4819085e4ea76b0a8ea8b completed May 12, 2026, 4:41 p.m.
Created at: April 10, 2026, 10:26 a.m.