University of Rwanda (campuses)
E397372
The University of Rwanda (campuses) is the main public higher education institution in Rwanda, with multiple campuses across the country offering a wide range of academic and research programs.
All labels observed (3)
| Label | Occurrences |
|---|---|
| UR Nyarugenge campus | 1 |
| University of Rwanda (campuses) canonical | 1 |
| University of Rwanda College of Business and Economics (Gikondo campus) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3909275 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Rwanda (campuses) Context triple: [Kigali, isHostOf, University of Rwanda (campuses)]
-
A.
University of Kisangani
The University of Kisangani is a major public higher education institution in Kisangani, Democratic Republic of the Congo, known for training many of the country’s political and social figures.
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B.
Rwandan Academy of Language and Culture (RALC)
The Rwandan Academy of Language and Culture (RALC) is a national institution responsible for preserving, promoting, and regulating Rwanda’s languages and cultural heritage.
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C.
Université Catholique du Congo
Université Catholique du Congo is a private Catholic university in the Democratic Republic of the Congo known for its programs in theology, philosophy, social sciences, and related disciplines.
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D.
University of Kinshasa
The University of Kinshasa is a major public higher education and research institution in the Democratic Republic of the Congo’s capital city.
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E.
Kisumu Campus
Kisumu Campus is a regional branch of the University of Nairobi located in Kisumu, Kenya, offering various academic programs and services to students in the western part of the country.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: University of Rwanda (campuses) Target entity description: The University of Rwanda (campuses) is the main public higher education institution in Rwanda, with multiple campuses across the country offering a wide range of academic and research programs.
-
A.
University of Kisangani
The University of Kisangani is a major public higher education institution in Kisangani, Democratic Republic of the Congo, known for training many of the country’s political and social figures.
-
B.
Rwandan Academy of Language and Culture (RALC)
The Rwandan Academy of Language and Culture (RALC) is a national institution responsible for preserving, promoting, and regulating Rwanda’s languages and cultural heritage.
-
C.
Université Catholique du Congo
Université Catholique du Congo is a private Catholic university in the Democratic Republic of the Congo known for its programs in theology, philosophy, social sciences, and related disciplines.
-
D.
University of Kinshasa
The University of Kinshasa is a major public higher education and research institution in the Democratic Republic of the Congo’s capital city.
-
E.
Kisumu Campus
Kisumu Campus is a regional branch of the University of Nairobi located in Kisumu, Kenya, offering various academic programs and services to students in the western part of the country.
- F. None of above. chosen
Statements (35)
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: University of Rwanda (campuses) Description of subject: The University of Rwanda (campuses) is the main public higher education institution in Rwanda, with multiple campuses across the country offering a wide range of academic and research programs.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
University of Rwanda (campuses)
linked to: University of Rwanda (campuses)
Nyarugenge District
→
contains
→
University of Rwanda College of Business and Economics (Gikondo campus)
ⓘ
linked to: University of Rwanda (campuses)