Yingze District
E356199
Yingze District is a central urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its administrative, commercial, and cultural significance.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Yingze District canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2963989 — 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: Yingze District Context triple: [Taiyuan, hasSubdivisions, Yingze District]
-
A.
Qingshan District
Qingshan District is an urban district of Wuhan in Hubei Province, China, known for its heavy industry and riverside location along the Yangtze River.
-
B.
Zhonglou District
Zhonglou District is an urban administrative district of Changzhou in Jiangsu Province, China, known for its commercial centers and dense residential areas.
-
C.
Tianxin District
Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial areas.
-
D.
Jianye District
Jianye District is an urban district of Nanjing, China, known for its historical significance and major memorial sites related to the Nanjing Massacre.
-
E.
Xiaonan District
Xiaonan District is the central urban district and administrative seat of Xiaogan City in Hubei Province, 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: Yingze District Target entity description: Yingze District is a central urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its administrative, commercial, and cultural significance.
-
A.
Qingshan District
Qingshan District is an urban district of Wuhan in Hubei Province, China, known for its heavy industry and riverside location along the Yangtze River.
-
B.
Zhonglou District
Zhonglou District is an urban administrative district of Changzhou in Jiangsu Province, China, known for its commercial centers and dense residential areas.
-
C.
Tianxin District
Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial areas.
-
D.
Jianye District
Jianye District is an urban district of Nanjing, China, known for its historical significance and major memorial sites related to the Nanjing Massacre.
-
E.
Xiaonan District
Xiaonan District is the central urban district and administrative seat of Xiaogan City in Hubei Province, China.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
district
ⓘ
urban district ⓘ |
| administrativeCenterOf | parts of Taiyuan ⓘ |
| belongsToAdministrativeRegion |
North China
ⓘ
surface form:
North China region of China
|
| belongsToProvinceLevelDivision |
Shanxi Province
ⓘ
surface form:
Shanxi
|
| capitalOfContainingCity | Shanxi Province ⓘ |
| country | China ⓘ |
| countrySubdivisionType | district ⓘ |
| governedBy | Taiyuan municipal government ⓘ |
| governingCountryCapital | Beijing ⓘ |
| hasAdministrativeHierarchyLevel | county-level division ⓘ |
| hasCulturalSignificance | cultural institutions of Taiyuan ⓘ |
| hasEconomicActivity |
commerce
ⓘ
retail trade ⓘ services ⓘ |
| hasFunction |
administrative center
ⓘ
commercial center ⓘ cultural center ⓘ |
| hasGovernmentType | district-level local government ⓘ |
| hasInfrastructureType | urban infrastructure ⓘ |
| hasJurisdiction | parts of central Taiyuan ⓘ |
| hasLegalStatus | administrative district of a prefecture-level city ⓘ |
| hasRegionalImportance | important district in Shanxi Province ⓘ |
| hasSettlementType | urban area ⓘ |
| hasTransportRole | urban transport hub of Taiyuan ⓘ |
| hasUrbanCharacteristic |
high population density
ⓘ
mixed residential and commercial land use ⓘ |
| hasUrbanStatus | built-up area of Taiyuan ⓘ |
| isAdministrativeDivisionOf |
China
ⓘ
surface form:
People's Republic of China
|
| isCentralBusinessAreaOf | Taiyuan ⓘ |
| isKnownFor |
administrative significance
ⓘ
commercial significance ⓘ cultural significance ⓘ |
| languageUsed | Standard Chinese ⓘ |
| locatedIn |
North China
ⓘ
surface form:
Northern China
Shanxi Province ⓘ Taiyuan ⓘ |
| locatedInAdministrativeEntity |
Taiyuan
ⓘ
surface form:
Taiyuan City
|
| locatedInGeopoliticalRegion | North China ⓘ |
| locatedOnContinent | Asia ⓘ |
| officialLanguageOfCountry | Standard Chinese ⓘ |
| partOf | urban core of Taiyuan ⓘ |
| roleInCity | central urban district of Taiyuan ⓘ |
| timeZone | China Standard Time ⓘ |
| 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: Yingze District Description of subject: Yingze District is a central urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its administrative, commercial, and cultural significance.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.