Wanbailin District
E362600
Wanbailin District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Wanbailin District canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2963992 — 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: Wanbailin District Context triple: [Taiyuan, hasSubdivisions, Wanbailin District]
-
A.
Jiawang District
Jiawang District is an administrative district under the jurisdiction of Xuzhou in Jiangsu Province, eastern China, known historically for its coal mining industry.
-
B.
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.
-
C.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
D.
Jiancaoping District
Jiancaoping District is an urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its industrial development and residential areas.
-
E.
Xinghualing District
Xinghualing District is an urban district and administrative division of Taiyuan, the capital city of Shanxi Province in northern China.
- 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: Wanbailin District Target entity description: Wanbailin District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
-
A.
Jiawang District
Jiawang District is an administrative district under the jurisdiction of Xuzhou in Jiangsu Province, eastern China, known historically for its coal mining industry.
-
B.
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.
-
C.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
D.
Jiancaoping District
Jiancaoping District is an urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its industrial development and residential areas.
-
E.
Xinghualing District
Xinghualing District is an urban district and administrative division of Taiyuan, the capital city of Shanxi Province in northern China.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
administrative division
ⓘ
district ⓘ urban district ⓘ |
| capitalOfContainingCity | Shanxi Province ⓘ |
| country | China ⓘ |
| governingBody | Taiyuan municipal government ⓘ |
| hasAdministrativeCenter | Taiyuan ⓘ |
| hasOfficialLanguage | Standard Chinese ⓘ |
| hasSettlementType | district ⓘ |
| hasWritingSystem | Simplified Chinese ⓘ |
| isAdministrativeDistrictOf | Taiyuan ⓘ |
| isDistrictOf | Taiyuan ⓘ |
| isLocatedInCapitalOf | Shanxi Province ⓘ |
| isUrban | true ⓘ |
| languageUsed | Mandarin Chinese ⓘ |
| locatedIn |
North China
ⓘ
surface form:
Northern China
Shanxi Province ⓘ Taiyuan ⓘ |
| locatedInRegion | North China ⓘ |
| locatedOnContinent | Asia ⓘ |
| partOf |
Taiyuan
ⓘ
surface form:
Taiyuan City
|
| subdivisionName1 | Taiyuan ⓘ |
| subdivisionName2 |
Shanxi Province
ⓘ
surface form:
Shanxi
|
| subdivisionName3 | China ⓘ |
| subdivisionType | district ⓘ |
| subdivisionType1 | prefecture-level city ⓘ |
| subdivisionType2 | province ⓘ |
| subdivisionType3 | country ⓘ |
| timeZone | China Standard Time ⓘ |
| utcOffset | +08:00 ⓘ |
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: Wanbailin District Description of subject: Wanbailin District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.