Qianfeng District
E778538
Qianfeng District is an administrative district within the prefecture-level city of Guang’an in Sichuan Province, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Qianfeng District canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8593826 — 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: Qianfeng District Context triple: [Guang’an, hasAdministrativeDivision, Qianfeng District]
-
A.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
B.
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.
-
C.
Zhengxiang District
Zhengxiang District is an urban administrative district of Hengyang City in Hunan Province, China, known for its role as one of the city's central built-up areas.
-
D.
Jinyuan District
Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
-
E.
Fangzi District
Fangzi District is an urban administrative district within the prefecture-level city of Weifang in Shandong Province, eastern 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: Qianfeng District Target entity description: Qianfeng District is an administrative district within the prefecture-level city of Guang’an in Sichuan Province, China.
-
A.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
B.
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.
-
C.
Zhengxiang District
Zhengxiang District is an urban administrative district of Hengyang City in Hunan Province, China, known for its role as one of the city's central built-up areas.
-
D.
Jinyuan District
Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
-
E.
Fangzi District
Fangzi District is an urban administrative district within the prefecture-level city of Weifang in Shandong Province, eastern China.
- F. None of above. chosen
Statements (24)
| Predicate | Object |
|---|---|
| instanceOf | district ⓘ |
| administrativeLevel | county-level ⓘ |
| continent | Asia ⓘ |
| country | China ⓘ |
| countrySubdivision | People’s Republic of China ⓘ |
| governingBody |
Guang’an municipal government
ⓘ
linked to:
Guang’an Municipal People’s Government
|
| hasOfficialLanguage | Standard Chinese ⓘ |
| hasSettlementType | urban district ⓘ |
| hasTimeZone | UTC+08:00 ⓘ |
| isSubdivisionOf |
Guang’an
ⓘ
linked to:
Guang’an District
Sichuan ⓘ
linked to:
Sichuan Province
|
| locatedIn |
Guang’an
ⓘ
linked to:
Guang’an City
People’s Republic of China ⓘ
linked to:
China
Sichuan Province ⓘ Southwest China ⓘ |
| partOf |
Guang’an City
ⓘ
Sichuan Province ⓘ |
| prefectureLevelCity |
Guang’an
ⓘ
linked to:
Guang’an District
|
| province |
Sichuan
ⓘ
linked to:
Sichuan Province
|
| region | Sichuan Basin ⓘ |
| subdivisionType | district ⓘ |
| timeZone | China Standard Time ⓘ |
| 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: Qianfeng District Description of subject: Qianfeng District is an administrative district within the prefecture-level city of Guang’an in Sichuan Province, China.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Guang’an, Sichuan, China