Kadoma
E672882
Kadoma is a city in central Zimbabwe known for its gold mining and agricultural activities.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Kadoma canonical | 7 |
| Kadoma District | 6 |
| City of Kadoma | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7570336 — 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: Kadoma Context triple: [Mashonaland West Province, hasTown, Kadoma]
-
A.
Kadoma
Kadoma is a city in Osaka Prefecture, Japan, known as a residential and commercial suburb within the Osaka metropolitan area.
-
B.
Omuta
Omuta is an industrial city in southern Fukuoka Prefecture, Japan, historically known for its coal mining and chemical industries.
-
C.
Mathare
Mathare is a densely populated informal settlement and neighborhood in Nairobi, Kenya, known for its extensive slums and socio-economic challenges.
-
D.
Oshakati
Oshakati is a major northern Namibian town that serves as an important commercial and administrative hub.
-
E.
Kalangoya
Kalangoya is an alternative name for the Kalanguya language, an Austronesian language spoken by indigenous communities in the northern Philippines.
- 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: Kadoma Target entity description: Kadoma is a city in central Zimbabwe known for its gold mining and agricultural activities.
-
A.
Kadoma
Kadoma is a city in Osaka Prefecture, Japan, known as a residential and commercial suburb within the Osaka metropolitan area.
-
B.
Omuta
Omuta is an industrial city in southern Fukuoka Prefecture, Japan, historically known for its coal mining and chemical industries.
-
C.
Mathare
Mathare is a densely populated informal settlement and neighborhood in Nairobi, Kenya, known for its extensive slums and socio-economic challenges.
-
D.
Oshakati
Oshakati is a major northern Namibian town that serves as an important commercial and administrative hub.
-
E.
Kalangoya
Kalangoya is an alternative name for the Kalanguya language, an Austronesian language spoken by indigenous communities in the northern Philippines.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf | city ⓘ |
| administrativeStatus | urban settlement ⓘ |
| climate | subtropical ⓘ |
| continent | Africa ⓘ |
| country | Zimbabwe ⓘ |
| countryCode | ZW ⓘ |
| distanceFromHarare | approximately 140 km southwest ⓘ |
| formerName | Gatooma ⓘ |
| governingBody |
Kadoma City Council
ⓘ
linked to:
Kadoma city council
|
| hasAgriculturalActivity |
cotton farming
ⓘ
maize farming ⓘ tobacco farming ⓘ |
| hasEconomicActivity |
agro-based industry
ⓘ
mining industry ⓘ textile industry ⓘ |
| hasEducationalFacility |
primary schools
ⓘ
secondary schools ⓘ |
| hasHealthFacility |
clinics
ⓘ
hospitals ⓘ |
| hasInfrastructure |
major highway connection
ⓘ
railway connection ⓘ |
| hasNaturalResource |
gold
ⓘ
minerals ⓘ |
| hasNearbyMine |
Cam and Motor Mine
ⓘ
Dalny Mine ⓘ |
| hasNearbyTown | Eiffel Flats ⓘ |
| hasSector |
primary sector
ⓘ
secondary sector ⓘ tertiary sector ⓘ |
| hasTransport |
bus services
ⓘ
road freight services ⓘ |
| isUrbanCenterOf |
Kadoma District
ⓘ
linked to:
Kadoma
|
| knownFor |
agriculture
ⓘ
cattle ranching ⓘ cotton production ⓘ gold mining ⓘ |
| languageSpoken |
English
ⓘ
Shona ⓘ |
| locatedIn | Mashonaland West Province ⓘ |
| locatedInRegion | central Zimbabwe ⓘ |
| locatedOn |
Harare–Bulawayo road
ⓘ
linked to:
Harare–Bulawayo highway
|
| region |
Mashonaland
ⓘ
linked to:
Mashonaland region
|
| timeZone | Central Africa Time ⓘ |
| utcOffset | +2 ⓘ |
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: Kadoma Description of subject: Kadoma is a city in central Zimbabwe known for its gold mining and agricultural activities.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Kadoma
subject linked to:
Kadoma city council
subject linked to:
Kadoma city council
linked to: Kadoma
subject linked to:
Kadoma city council
linked to: Kadoma
linked to: Kadoma
linked to: Kadoma
linked to: Kadoma
linked to: Kadoma