Likati Health Zone
E468949
Likati Health Zone is a remote administrative health district in northern Democratic Republic of the Congo, known for being the origin point of a 2017 Ebola virus disease outbreak in Équateur Province.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Likati Health Zone canonical | 1 |
| Muma health area | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4784836 — 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: Likati Health Zone Context triple: [2017 Équateur Province Ebola outbreak, indexCaseLocation, Likati Health Zone]
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A.
Beni Health Zone
Beni Health Zone is a health administrative area in North Kivu Province of the Democratic Republic of the Congo, known for being heavily affected by recurrent Ebola outbreaks and regional conflict.
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B.
Mandima Health Zone
Mandima Health Zone is a health administrative area in Ituri Province in northeastern Democratic Republic of the Congo that became widely known as the initial focal area of the 2018–2020 Kivu Ebola epidemic.
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C.
Kalunguta Health Zone
Kalunguta Health Zone is a health administrative area in North Kivu Province, Democratic Republic of the Congo, known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
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D.
Mabalako Health Zone
Mabalako Health Zone is a health district in North Kivu Province, Democratic Republic of the Congo, known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
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E.
Plaka district
The Plaka district is a historic neighborhood in central Athens known for its neoclassical architecture, narrow streets, and lively tavernas at the foot of the Acropolis.
- 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: Likati Health Zone Target entity description: Likati Health Zone is a remote administrative health district in northern Democratic Republic of the Congo, known for being the origin point of a 2017 Ebola virus disease outbreak in Équateur Province.
-
A.
Beni Health Zone
Beni Health Zone is a health administrative area in North Kivu Province of the Democratic Republic of the Congo, known for being heavily affected by recurrent Ebola outbreaks and regional conflict.
-
B.
Mandima Health Zone
Mandima Health Zone is a health administrative area in Ituri Province in northeastern Democratic Republic of the Congo that became widely known as the initial focal area of the 2018–2020 Kivu Ebola epidemic.
-
C.
Kalunguta Health Zone
Kalunguta Health Zone is a health administrative area in North Kivu Province, Democratic Republic of the Congo, known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
-
D.
Mabalako Health Zone
Mabalako Health Zone is a health district in North Kivu Province, Democratic Republic of the Congo, known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
-
E.
Plaka district
The Plaka district is a historic neighborhood in central Athens known for its neoclassical architecture, narrow streets, and lively tavernas at the foot of the Acropolis.
- F. None of above. chosen
Statements (48)
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: Likati Health Zone Description of subject: Likati Health Zone is a remote administrative health district in northern Democratic Republic of the Congo, known for being the origin point of a 2017 Ebola virus disease outbreak in Équateur Province.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Likati Health Zone