Fengnan District
E526019
Fengnan District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Fengnan District canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4571042 — 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: Fengnan District Context triple: [Tangshan, hasSubdivision, Fengnan District]
-
A.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
B.
Xiaonan District
Xiaonan District is the central urban district and administrative seat of Xiaogan City in Hubei Province, China.
-
C.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
D.
Zhangwan District
Zhangwan District is an urban administrative district of the prefecture-level city of Shiyan in Hubei Province, China, known for its role in the region’s automotive and industrial development.
-
E.
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.
- 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: Fengnan District Target entity description: Fengnan District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei 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.
Xiaonan District
Xiaonan District is the central urban district and administrative seat of Xiaogan City in Hubei Province, China.
-
C.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
D.
Zhangwan District
Zhangwan District is an urban administrative district of the prefecture-level city of Shiyan in Hubei Province, China, known for its role in the region’s automotive and industrial development.
-
E.
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.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf | district of China ⓘ |
| administrativeLevel | county-level division ⓘ |
| country | China ⓘ |
| governingBody | Tangshan municipal government ⓘ |
| hasCapital | Fengnan District government seat ⓘ |
| hasChineseName | 丰南区 ⓘ |
| hasJurisdiction | parts of Tangshan urban area ⓘ |
| hasSettlementType | urban district ⓘ |
| isAdministeredBy |
People's Republic of China
ⓘ
linked to:
China
|
| languageUsed | Standard Chinese ⓘ |
| locatedIn |
eastern Hebei Province
ⓘ
linked to:
Hebei
|
| locatedInTimeZone | China Standard Time ⓘ |
| locatedNear | Bohai Sea ⓘ |
| locatedOnContinent | Asia ⓘ |
| nativeNameLanguage | zh ⓘ |
| officialLanguage | Standard Chinese ⓘ |
| partOf |
Hebei Province
ⓘ
linked to:
Hebei
North China ⓘ Tangshan ⓘ |
| subdivisionName1 | Tangshan ⓘ |
| subdivisionName2 | Hebei ⓘ |
| subdivisionType | district ⓘ |
| subdivisionType1 | prefecture-level city ⓘ |
| subdivisionType2 | province ⓘ |
| 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: Fengnan District Description of subject: Fengnan District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.