Haicheng District
E340010
Haicheng District is an urban administrative district and central area of Beihai City in Guangxi, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Haicheng District canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2875658 — 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: Haicheng District Context triple: [Beihai, hasSubdivision, Haicheng District]
-
A.
Tieshan District
Tieshan District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China, known for its industrial and mining activities.
-
B.
Hongshan District
Hongshan District is an urban district of Wuhan in Hubei Province, China, known for its educational institutions, technology parks, and major transportation hubs.
-
C.
Xicheng District
Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
-
D.
Quanshan District
Quanshan District is an urban administrative district of Xuzhou in Jiangsu Province, China, known as one of the city’s central built-up areas.
-
E.
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.
- 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: Haicheng District Target entity description: Haicheng District is an urban administrative district and central area of Beihai City in Guangxi, China.
-
A.
Tieshan District
Tieshan District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China, known for its industrial and mining activities.
-
B.
Hongshan District
Hongshan District is an urban district of Wuhan in Hubei Province, China, known for its educational institutions, technology parks, and major transportation hubs.
-
C.
Xicheng District
Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
-
D.
Quanshan District
Quanshan District is an urban administrative district of Xuzhou in Jiangsu Province, China, known as one of the city’s central built-up areas.
-
E.
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.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
administrative division
ⓘ
district ⓘ urban district ⓘ |
| administrativeCenterOf |
Beihai City
ⓘ
linked to:
Beihai
|
| country | China ⓘ |
| governedBy |
Beihai municipal government
ⓘ
linked to:
Beihai Municipal People's Government
|
| hasCategory |
Beihai
ⓘ
Districts of Guangxi ⓘ Urban districts of China ⓘ |
| hasGovernmentType | local government ⓘ |
| hasHigherLevelAdministrativeDivision |
China
ⓘ
Guangxi ⓘ
linked to:
Guangxi Province
|
| hasJurisdiction | parts of central Beihai ⓘ |
| hasLanguage | Standard Chinese ⓘ |
| hasOfficialLanguage | Standard Chinese ⓘ |
| hasSubdivisionType | district ⓘ |
| hasWritingSystem | Simplified Chinese ⓘ |
| isCentralAreaOf |
Beihai City
ⓘ
linked to:
Beihai
|
| isUrbanAreaOf | Beihai ⓘ |
| locatedIn |
Beihai
ⓘ
Guangxi ⓘ
linked to:
Guangxi Province
Guangxi Zhuang Autonomous Region ⓘ
linked to:
Guangxi Province
|
| locatedInRegion |
South China
ⓘ
linked to:
southern China
|
| locatedInTimeZone | China Standard Time ⓘ |
| locatedOnContinent | Asia ⓘ |
| partOf |
Beihai City
ⓘ
linked to:
Beihai
|
| 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: Haicheng District Description of subject: Haicheng District is an urban administrative district and central area of Beihai City in Guangxi, China.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.