Xiaoting District
E250391
Xiaoting District is an urban administrative district of Yichang in Hubei Province, China, known for its location along the Yangtze River and its role in the region’s industrial and transportation network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Xiaoting District canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1777347 — 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: Xiaoting District Context triple: [Yichang, contains, Xiaoting District]
-
A.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
B.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
C.
Xicheng District
Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
-
D.
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.
-
E.
Tianxin District
Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial 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: Xiaoting District Target entity description: Xiaoting District is an urban administrative district of Yichang in Hubei Province, China, known for its location along the Yangtze River and its role in the region’s industrial and transportation network.
-
A.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
B.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
C.
Xicheng District
Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
-
D.
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.
-
E.
Tianxin District
Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial areas.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
administrative division
ⓘ
district ⓘ urban district ⓘ |
| administrativeLevel | county-level district ⓘ |
| country | China ⓘ |
| countrySubdivisionType | prefecture-level city ⓘ |
| economicActivity |
industry
ⓘ
logistics ⓘ |
| governingBody |
Yichang Municipal People's Government
ⓘ
surface form:
Yichang municipal government
|
| hasNameInChinese | 猇亭区 ⓘ |
| isUrban | true ⓘ |
| language | Mandarin Chinese ⓘ |
| locatedIn |
Central China
ⓘ
Hubei Province ⓘ China ⓘ
surface form:
People's Republic of China
Yichang ⓘ middle reaches of the Yangtze River ⓘ |
| locatedOn | Yangtze River ⓘ |
| partOf |
Hubei Province
ⓘ
Yichang ⓘ
surface form:
Yichang City
|
| province |
Hubei Province
ⓘ
surface form:
Hubei
|
| region | Yangtze River Economic Belt ⓘ |
| river | Yangtze River ⓘ |
| role |
industrial hub in the Yichang region
ⓘ
transportation node along the Yangtze River ⓘ |
| timezone | China Standard Time ⓘ |
| transportFunction |
river transport
ⓘ
road transport ⓘ |
| 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: Xiaoting District Description of subject: Xiaoting District is an urban administrative district of Yichang in Hubei Province, China, known for its location along the Yangtze River and its role in the region’s industrial and transportation network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.