Huangzhou
E302407
Huangzhou is the central urban district and administrative heart of Huanggang in Hubei Province, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Huangzhou canonical | 1 |
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
administrative division
ⓘ
district ⓘ urban district ⓘ |
| administrativeLevel | district-level ⓘ |
| capitalOf | Huangzhou District ⓘ |
| country | China ⓘ |
| governingBody |
Huangzhou District
ⓘ
surface form:
Huangzhou District People’s Government
|
| hasPostalSystem | Chinese postal service ⓘ |
| hasSettlementType | urban area ⓘ |
| hasTransport |
railway connections
ⓘ
river transport ⓘ road network ⓘ |
| languageUsed |
Mandarin Chinese
ⓘ
Standard Chinese ⓘ |
| locatedEastOf | Wuhan ⓘ |
| locatedIn |
Hubei Province
ⓘ
surface form:
Hubei
Hubei Province ⓘ |
| locatedInRegion | central China ⓘ |
| locatedInTimeZone | China Standard Time ⓘ |
| locatedOnContinent | Asia ⓘ |
| locatedOnRiver | Yangtze River ⓘ |
| partOf | Huanggang ⓘ |
| provinceCapital | Wuhan ⓘ |
| role |
administrative heart of Huanggang
ⓘ
central urban district of Huanggang ⓘ |
| subdivisionOf | Huanggang City ⓘ |
| usesCurrency |
Chinese yuan
ⓘ
Chinese yuan ⓘ
surface form:
Renminbi
|
| 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: Huangzhou Description of subject: Huangzhou is the central urban district and administrative heart of Huanggang in Hubei Province, China.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.