Vuhovi
E106446
Vuhovi is a locality in the Democratic Republic of the Congo known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Vuhovi canonical | 1 |
| Vuhovi Health Zone | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T903494 — 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: Vuhovi Context triple: [2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo, epicenter, Vuhovi]
-
A.
Vingar
Vingar is a district within the Norwegian town of Lillehammer, known for its residential character in the inland region of Oppland.
-
B.
Dolopes
The Dolopes were an ancient Greek tribe from a mountainous region in Thessaly, known from early epic tradition and later as a minor member of wider Greek political and religious alliances.
-
C.
Bodéwadmi
Bodéwadmi are an Algonquian-speaking Indigenous people of the Great Lakes region in North America, known in English as the Potawatomi.
-
D.
Vivarais
Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
-
E.
Avusy
Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
- 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: Vuhovi Target entity description: Vuhovi is a locality in the Democratic Republic of the Congo known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
-
A.
Vingar
Vingar is a district within the Norwegian town of Lillehammer, known for its residential character in the inland region of Oppland.
-
B.
Dolopes
The Dolopes were an ancient Greek tribe from a mountainous region in Thessaly, known from early epic tradition and later as a minor member of wider Greek political and religious alliances.
-
C.
Bodéwadmi
Bodéwadmi are an Algonquian-speaking Indigenous people of the Great Lakes region in North America, known in English as the Potawatomi.
-
D.
Vivarais
Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
-
E.
Avusy
Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
- F. None of above. chosen
Statements (19)
| Predicate | Object |
|---|---|
| instanceOf | locality ⓘ |
| affectedBy | Ebola virus disease ⓘ |
| continent | Africa ⓘ |
| country | Democratic Republic of the Congo ⓘ |
| countrySubdivision | province of North Kivu ⓘ |
| epidemicImpact | heavily affected locality during the 2018–2020 Kivu Ebola epidemic ⓘ |
| epidemicType | Ebola outbreak location ⓘ |
| healthEmergency | part of a WHO-declared Public Health Emergency of International Concern ⓘ |
| languageUsedLocally |
French
ⓘ
Swahili language ⓘ
surface form:
Swahili
|
| locatedIn |
North Kivu Province
ⓘ
eastern Democratic Republic of the Congo ⓘ |
| locatedInTimeZone | Central Africa Time ⓘ |
| notableFor | being one of the communities most affected by the 2018–2020 Kivu Ebola epidemic ⓘ |
| partOf |
North Kivu Province
ⓘ
surface form:
Kivu region
|
| publicHealthContext | site of Ebola response operations during the 2018–2020 Kivu Ebola epidemic ⓘ |
| regionType | rural area ⓘ |
| significantEvent |
2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo
ⓘ
surface form:
2018–2020 Kivu Ebola epidemic
|
| timePeriodOfMajorEvent | 2018–2020 ⓘ |
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: Vuhovi Description of subject: Vuhovi is a locality in the Democratic Republic of the Congo known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Vuhovi Health Zone