Tsinghua University
E55902
C9 League university
Double First Class University Plan institution
Project 211 university
Project 985 university
public research university
Tsinghua University is a leading research-intensive university in Beijing, China, renowned for its strong engineering, science, and technology programs and its significant influence in Chinese higher education and innovation.
All labels observed (10)
How this entity was disambiguated
This entity first appeared as the object of triple T426206 — 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: Tsinghua University Context triple: [Association of Pacific Rim Universities, hasMember, Tsinghua University]
-
A.
Peking University
Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
-
B.
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.
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C.
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.
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D.
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.
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E.
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.
- 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: Tsinghua University Target entity description: Tsinghua University is a leading research-intensive university in Beijing, China, renowned for its strong engineering, science, and technology programs and its significant influence in Chinese higher education and innovation.
-
A.
Peking University
Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above. chosen
Statements (58)
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: Tsinghua University Description of subject: Tsinghua University is a leading research-intensive university in Beijing, China, renowned for its strong engineering, science, and technology programs and its significant influence in Chinese higher education and innovation.
Referenced by (90)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
School of Architecture, Tsinghua University
subject surface form:
School of Medicine, Tsinghua University
subject surface form:
School of Sciences, Tsinghua University
subject surface form:
School of Sciences, Tsinghua University
subject surface form:
School of Sciences, Tsinghua University
subject surface form:
School of Law, Tsinghua University
subject surface form:
School of Law, Tsinghua University
this entity surface form:
Tsinghua University administration
subject surface form:
School of Law, Tsinghua University
subject surface form:
School of Engineering, Tsinghua University
subject surface form:
School of Engineering, Tsinghua University
this entity surface form:
Tsinghua University (in fiction)