Yunhe District
E626132
Yunhe District is an urban administrative district that serves as the central area and governmental seat of Cangzhou in Hebei Province, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Yunhe District canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T6026585 — 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: Yunhe District Context triple: [Cangzhou, capital, Yunhe District]
-
A.
Neihu District
Neihu District is a suburban and technology-focused district in northeastern Taipei, Taiwan, known for its science parks, residential communities, and natural scenery.
-
B.
Yingdong District
Yingdong District is an urban administrative district of Fuyang City in Anhui Province, China.
-
C.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
D.
Fengrun District
Fengrun District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
-
E.
Dianjun District
Dianjun District is an urban district of Yichang City in Hubei Province, central China, situated along the Yangtze River and known for its role in the region’s transportation and industry.
- 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: Yunhe District Target entity description: Yunhe District is an urban administrative district that serves as the central area and governmental seat of Cangzhou in Hebei Province, China.
-
A.
Neihu District
Neihu District is a suburban and technology-focused district in northeastern Taipei, Taiwan, known for its science parks, residential communities, and natural scenery.
-
B.
Yingdong District
Yingdong District is an urban administrative district of Fuyang City in Anhui Province, China.
-
C.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
D.
Fengrun District
Fengrun District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
-
E.
Dianjun District
Dianjun District is an urban district of Yichang City in Hubei Province, central China, situated along the Yangtze River and known for its role in the region’s transportation and industry.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
administrative district
ⓘ
urban district ⓘ |
| administrativeCenterOf | Cangzhou ⓘ |
| country | China ⓘ |
| countrySubdivision |
Hebei Province
ⓘ
linked to:
Hebei
|
| governmentSeatOf | Cangzhou ⓘ |
| hasCapital |
Cangzhou municipal government
ⓘ
linked to:
Cangzhou Municipal People's Government
|
| hasGovernmentFunction |
cultural center of Cangzhou
ⓘ
economic center of Cangzhou ⓘ municipal administration center ⓘ political center of Cangzhou ⓘ |
| hasLanguage | Mandarin Chinese ⓘ |
| hasOfficialLanguage | Standard Chinese ⓘ |
| hasSettlementType | urban district ⓘ |
| isCentralDistrictOf | Cangzhou ⓘ |
| isUrbanAreaOf | Cangzhou ⓘ |
| locatedIn |
People's Republic of China
ⓘ
linked to:
China
eastern Hebei Province ⓘ |
| locatedInTimeZone | China Standard Time ⓘ |
| namedAfter |
Yunhe (Grand Canal)
ⓘ
linked to:
Grand Canal of China
|
| partOf |
Cangzhou
ⓘ
Hebei Province ⓘ
linked to:
Hebei
North China ⓘ |
| usesWritingSystem | Simplified Chinese ⓘ |
| utcOffset | +8 ⓘ |
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: Yunhe District Description of subject: Yunhe District is an urban administrative district that serves as the central area and governmental seat of Cangzhou in Hebei Province, China.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.