Duke Kunshan University
E44608
Duke Kunshan University is a Sino-American joint-venture liberal arts and research university in Kunshan, China, operated in partnership between Duke University and Wuhan University.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Duke Kunshan University canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T352603 — 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: Duke Kunshan University Context triple: [Duke University, hasCampus, Duke Kunshan University]
-
A.
Fudan University
Fudan University is a prestigious and comprehensive research university in Shanghai, China, renowned for its strong academic programs and leading role in Chinese higher education.
-
B.
Sun Yat-sen University
Sun Yat-sen University is a major comprehensive public research university in China, renowned for its strong academic programs and historical significance in southern China.
-
C.
East China Normal University
East China Normal University is a leading comprehensive research university in Shanghai, China, renowned for its strengths in teacher education, the humanities, and the social sciences.
-
D.
Wuhan University
Wuhan University is a major comprehensive research university in Wuhan, China, renowned for its strong academic programs and picturesque campus.
-
E.
Shanghai Jiao Tong University
Shanghai Jiao Tong University is one of China’s oldest and most prestigious research universities, renowned for its strong engineering, science, and technology programs.
- 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: Duke Kunshan University Target entity description: Duke Kunshan University is a Sino-American joint-venture liberal arts and research university in Kunshan, China, operated in partnership between Duke University and Wuhan University.
-
A.
Fudan University
Fudan University is a prestigious and comprehensive research university in Shanghai, China, renowned for its strong academic programs and leading role in Chinese higher education.
-
B.
Sun Yat-sen University
Sun Yat-sen University is a major comprehensive public research university in China, renowned for its strong academic programs and historical significance in southern China.
-
C.
East China Normal University
East China Normal University is a leading comprehensive research university in Shanghai, China, renowned for its strengths in teacher education, the humanities, and the social sciences.
-
D.
Wuhan University
Wuhan University is a major comprehensive research university in Wuhan, China, renowned for its strong academic programs and picturesque campus.
-
E.
Shanghai Jiao Tong University
Shanghai Jiao Tong University is one of China’s oldest and most prestigious research universities, renowned for its strong engineering, science, and technology programs.
- F. None of above. chosen
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
joint-venture university
ⓘ
liberal arts college ⓘ research university ⓘ |
| country | China ⓘ |
| grantsDegreeFrom | Duke University ⓘ |
| hasAcademicCalendarType | semester system ⓘ |
| hasAcademicFocus |
liberal arts
ⓘ
research ⓘ |
| hasAcademicPartnerCountry |
China
ⓘ
United States of America ⓘ
surface form:
United States
|
| hasAffiliation |
Duke University
ⓘ
Wuhan University ⓘ |
| hasCampus | Duke Kunshan University campus in Kunshan ⓘ |
| hasCampusType | residential campus ⓘ |
| hasCollaboration | Sino-American higher education collaboration ⓘ |
| hasCurriculumInfluenceFrom |
Duke University
ⓘ
Wuhan University ⓘ |
| hasEducationalModel | liberal arts education ⓘ |
| hasGovernanceModel | joint venture governance ⓘ |
| hasInternationalProfile | true ⓘ |
| hasLanguageOfInstruction |
Chinese
ⓘ
English ⓘ |
| hasMission | to integrate liberal arts education and research in a Sino-American context ⓘ |
| hasPrimaryDisciplineStructure | interdisciplinary programs ⓘ |
| hasResearchActivity | interdisciplinary research ⓘ |
| hasStudentBodyType |
Chinese students
ⓘ
international students ⓘ |
| hasTargetStudents |
Chinese students seeking international education
ⓘ
international students seeking study in China ⓘ |
| hasType | Sino-American joint venture ⓘ |
| isPrivateOrPublic | joint venture ⓘ |
| locatedIn |
Jiangsu
ⓘ
surface form:
Jiangsu Province
Kunshan ⓘ Yangtze River Delta ⓘ |
| offersDegree |
graduate degree
ⓘ
undergraduate degree ⓘ |
| partnerInstitution |
Duke University
ⓘ
Wuhan University ⓘ |
| region |
eastern China
ⓘ
surface form:
East China
|
| sector | higher education ⓘ |
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: Duke Kunshan University Description of subject: Duke Kunshan University is a Sino-American joint-venture liberal arts and research university in Kunshan, China, operated in partnership between Duke University and Wuhan University.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.