Wei Hai Wei
E78619
Wei Hai Wei was a former British-leased naval base and port on the northeastern coast of China, held from the late 19th to early 20th century as part of Britain’s Asian colonial presence.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Wei Hai Wei canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T609404 — 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.
Target entity: Wei Hai Wei Context triple: [Asia (colonial possessions), includes, Wei Hai Wei]
-
A.
Yuhuai Wu
Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
-
B.
Langche Zeng
Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
-
C.
Li Weihan
Li Weihan was a prominent Chinese Communist revolutionary and politician who played key roles in party organization and United Front work in the early and mid-20th century.
-
D.
Yu Minhong
Yu Minhong is a prominent Chinese entrepreneur and educator best known as the founder of New Oriental Education & Technology Group, one of China’s largest private education companies.
-
E.
Liang Xiaosheng
Liang Xiaosheng is a prominent Chinese writer and scholar best known for his realist novels depicting ordinary people's lives in contemporary China.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Wei Hai Wei Target entity description: Wei Hai Wei was a former British-leased naval base and port on the northeastern coast of China, held from the late 19th to early 20th century as part of Britain’s Asian colonial presence.
-
A.
Yuhuai Wu
Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
-
B.
Langche Zeng
Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
-
C.
Li Weihan
Li Weihan was a prominent Chinese Communist revolutionary and politician who played key roles in party organization and United Front work in the early and mid-20th century.
-
D.
Yu Minhong
Yu Minhong is a prominent Chinese entrepreneur and educator best known as the founder of New Oriental Education & Technology Group, one of China’s largest private education companies.
-
E.
Liang Xiaosheng
Liang Xiaosheng is a prominent Chinese writer and scholar best known for his realist novels depicting ordinary people's lives in contemporary China.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
British colonial possession
ⓘ
leased territory ⓘ naval base ⓘ port ⓘ |
| administrativeStatus |
British-leased territory
ⓘ
separate British administration from Hong Kong ⓘ |
| climate | temperate maritime climate ⓘ |
| colonialPower | United Kingdom ⓘ |
| country | United Kingdom ⓘ |
| currencyUsed |
Chinese currency
ⓘ
Hong Kong dollar ⓘ |
| garrisonedBy |
British Army
ⓘ
British Indian Army ⓘ
surface form:
British Indian Army units
locally raised Chinese regiment under British command ⓘ |
| governedBy | British Commissioner ⓘ |
| historicalEra |
early 20th century
ⓘ
late 19th century ⓘ |
| languageOfAdministration | English ⓘ |
| leasedFrom | Qing dynasty ⓘ |
| leaseDuration | 32 years ⓘ |
| leaseEndDate | 1930-10-01 ⓘ |
| leaseStartDate | 1898-07-01 ⓘ |
| legalBasis |
Convention of Peking
ⓘ
surface form:
Convention for the Extension of Hong Kong Territory and related agreements
|
| localLanguages | Chinese ⓘ |
| locatedIn |
China
ⓘ
Shandong Peninsula ⓘ Weihai ⓘ |
| locatedOn |
Yellow Sea
ⓘ
northeastern coast of China ⓘ |
| modernCountry |
China
ⓘ
surface form:
People's Republic of China
|
| modernName | Weihai ⓘ |
| nearbyFeature | Liu-kung Tao (Liugong Island) ⓘ |
| notableConflictContext |
Great Game
ⓘ
surface form:
Great Game in East Asia
Scramble for Concessions in China ⓘ |
| opposedPower | Russian Empire ⓘ |
| partOf |
British Empire
ⓘ
surface form:
British Empire in Asia
British informal sphere of influence in North China ⓘ |
| primaryFunction |
coaling station
ⓘ
fleet anchorage ⓘ summer station for the China Station fleet ⓘ |
| primaryNavalBaseLocation |
Liu-kung Tao (Liugong Island)
ⓘ
surface form:
Liugong Island
|
| relatedPort |
Hong Kong, China
ⓘ
surface form:
Hong Kong
Port Arthur ⓘ |
| returnedTo | Republic of China ⓘ |
| returnYear | 1930 ⓘ |
| strategicPurpose |
counterbalance to Russian presence at Port Arthur
ⓘ
naval base against Russian expansion in the Far East ⓘ support for British interests in North China ⓘ |
| usedBy | Royal Navy ⓘ |
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.
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.
Subject: Wei Hai Wei Description of subject: Wei Hai Wei was a former British-leased naval base and port on the northeastern coast of China, held from the late 19th to early 20th century as part of Britain’s Asian colonial presence.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.