Lieshan District
E685263
Lieshan District is an urban administrative district of Huaibei City in Anhui Province, eastern China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lieshan District canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7080572 — 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: Lieshan District Context triple: [Huaibei, hasDistrict, Lieshan 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.
Huaishang District
Huaishang District is an urban administrative district of Bengbu City in Anhui Province, China, known for its role in the city’s industrial and transportation development.
-
C.
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.
-
D.
Yingquan District
Yingquan District is an urban administrative district of the city of Fuyang in Anhui Province, China.
-
E.
Licheng District
Licheng District is a central urban district of Quanzhou in Fujian Province, China, known for its historic architecture and cultural heritage.
- 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: Lieshan District Target entity description: Lieshan District is an urban administrative district of Huaibei City in Anhui Province, eastern 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.
Huaishang District
Huaishang District is an urban administrative district of Bengbu City in Anhui Province, China, known for its role in the city’s industrial and transportation development.
-
C.
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.
-
D.
Yingquan District
Yingquan District is an urban administrative district of the city of Fuyang in Anhui Province, China.
-
E.
Licheng District
Licheng District is a central urban district of Quanzhou in Fujian Province, China, known for its historic architecture and cultural heritage.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf | district of China ⓘ |
| administrativeLevel | urban district ⓘ |
| belongsTo | Huaibei prefecture-level city NERFINISHED ⓘ |
| country | China ⓘ |
| governingBody | Huaibei municipal government NERFINISHED ⓘ |
| hasGovernmentType | district government ⓘ |
| hasNameInChinese | 烈山区 ⓘ |
| hasOfficialLanguage | Chinese ⓘ |
| hasSettlementType | district ⓘ |
| hasWritingSystem | Simplified Chinese ⓘ |
| isUrbanAreaOf | Huaibei NERFINISHED ⓘ |
| languageUsed | Standard Chinese NERFINISHED ⓘ |
| locatedIn |
Anhui
NERFINISHED
ⓘ
Anhui Province NERFINISHED ⓘ East China NERFINISHED ⓘ Huaibei NERFINISHED ⓘ China ⓘ
surface form:
People's Republic of China
|
| locatedOnContinent | Asia ⓘ |
| majorLanguage | Mandarin Chinese ⓘ |
| partOf | Huaibei City NERFINISHED ⓘ |
| region | Huaibei urban area NERFINISHED ⓘ |
| subdivisionOf |
Anhui Province
NERFINISHED
ⓘ
People's Republic of China NERFINISHED ⓘ |
| 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: Lieshan District Description of subject: Lieshan District is an urban administrative district of Huaibei City in Anhui Province, eastern China.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.