Mabalako Health Zone
E106447
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.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Mabalako Health Zone canonical | 3 |
| serves patients from Mabalako Health Zone | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T903495 — 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: Mabalako Health Zone Context triple: [2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo, epicenter, Mabalako Health Zone]
-
A.
Makhuwa
Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
-
B.
Mtatsminda district
Mtatsminda district is a central, historic area of Tbilisi, Georgia, known for its cultural landmarks, hillside views, and role as a key administrative and tourist hub of the city.
-
C.
Mwinilunga District
Mwinilunga District is a rural district in northwestern Zambia known for its lush forests, high rainfall, and location near the headwaters of major rivers including the Zambezi.
-
D.
Matabeleland South
Matabeleland South is a largely rural province in southwestern Zimbabwe known for its Ndebele-speaking population, cattle ranching, and proximity to the Botswana and South African borders.
-
E.
Zambezi Region
The Zambezi Region is a narrow, northeastern extension of Namibia known for its lush wetlands, rich wildlife, and strategic location bordering several neighboring countries.
- 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: Mabalako Health Zone Target entity description: 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.
-
A.
Makhuwa
Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
-
B.
Mtatsminda district
Mtatsminda district is a central, historic area of Tbilisi, Georgia, known for its cultural landmarks, hillside views, and role as a key administrative and tourist hub of the city.
-
C.
Mwinilunga District
Mwinilunga District is a rural district in northwestern Zambia known for its lush forests, high rainfall, and location near the headwaters of major rivers including the Zambezi.
-
D.
Matabeleland South
Matabeleland South is a largely rural province in southwestern Zimbabwe known for its Ndebele-speaking population, cattle ranching, and proximity to the Botswana and South African borders.
-
E.
Zambezi Region
The Zambezi Region is a narrow, northeastern extension of Namibia known for its lush wetlands, rich wildlife, and strategic location bordering several neighboring countries.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
health district
ⓘ
health zone ⓘ |
| affectedBy |
2018–2020 Kivu Ebola epidemic
ⓘ
Ebola virus disease outbreaks ⓘ |
| country | Democratic Republic of the Congo ⓘ |
| epidemicRole |
early epicenter of the 2018–2020 Kivu Ebola epidemic
ⓘ
source of Ebola case exportation to other health zones ⓘ |
| governedBy | health zone management team ⓘ |
| hasAdministrativeCenter | Mangina ⓘ |
| hasDiseaseSurveillance |
Ebola virus disease surveillance
ⓘ
integrated disease surveillance and response system ⓘ |
| hasHealthChallenge |
Ebola virus disease
ⓘ
access constraints due to insecurity ⓘ limited health infrastructure ⓘ |
| hasHealthFacility |
Mabalako General Reference Hospital
ⓘ
Mangina Ebola Treatment Center ⓘ |
| hasHealthProgram |
maternal and child health services
ⓘ
routine immunization services ⓘ |
| hasLanguage |
French
ⓘ
Swahili ⓘ
linked to:
Swahili language
|
| hasMainEconomicActivity |
small-scale trade
ⓘ
subsistence agriculture ⓘ |
| hasMainReligion | Christianity ⓘ |
| hasOutbreakStart | August 2018 Ebola virus disease detection in Mangina ⓘ |
| hasPopulationCharacteristic |
high population mobility
ⓘ
rural communities ⓘ |
| hasPublicHealthIntervention |
community engagement for Ebola response
ⓘ
contact tracing for Ebola virus disease ⓘ infection prevention and control measures in health facilities ⓘ ring vaccination with rVSV-ZEBOV-GP Ebola vaccine ⓘ safe and dignified burials ⓘ |
| hasSecurityContext |
affected by armed group activity
ⓘ
insecurity hampering public health response ⓘ |
| healthAuthority | Ministry of Public Health of the Democratic Republic of the Congo ⓘ |
| knownFor |
heavily affected during the 2018–2020 Kivu Ebola epidemic
ⓘ
major Ebola virus disease transmission area ⓘ |
| locatedIn |
North Kivu Province
ⓘ
eastern Democratic Republic of the Congo ⓘ
linked to:
Ituri Province
|
| partOf |
Beni Territory
ⓘ
North Kivu health system ⓘ |
| supportedBy |
Centers for Disease Control and Prevention
ⓘ
International Federation of Red Cross and Red Crescent Societies ⓘ Médecins Sans Frontières ⓘ UNICEF ⓘ World Health Organization ⓘ |
| timeZone | Central Africa Time ⓘ |
| utcOffset | +02:00 ⓘ |
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: Mabalako Health Zone Description of subject: 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.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo
→
epicenter
→
Mabalako Health Zone
ⓘ
linked to: Mabalako Health Zone