Sichuan University
E233097
Project 211 university
Project 985 university
double first-class university
public research university
Sichuan University is a major comprehensive research university in Chengdu, China, known for its wide range of academic disciplines and strong national reputation.
All labels observed (4)
| Label | Occurrences |
|---|---|
| National Sichuan University | 1 |
| Sichuan Chinese and Western School | 1 |
| Sichuan University canonical | 1 |
| 四川大学 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1909877 — 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: Sichuan University Context triple: [Sichuan Province, hasFamousUniversity, Sichuan University]
-
A.
Chongqing University
Chongqing University is a major national research university in China known for its strong engineering, technology, and architecture programs.
-
B.
Wuhan University
Wuhan University is a major comprehensive research university in Wuhan, China, renowned for its strong academic programs and picturesque campus.
-
C.
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.
-
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.
Nanjing University
Nanjing University is one of China’s oldest and most prestigious research universities, renowned for its strong academic programs and historical significance.
- 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: Sichuan University Target entity description: Sichuan University is a major comprehensive research university in Chengdu, China, known for its wide range of academic disciplines and strong national reputation.
-
A.
Chongqing University
Chongqing University is a major national research university in China known for its strong engineering, technology, and architecture programs.
-
B.
Wuhan University
Wuhan University is a major comprehensive research university in Wuhan, China, renowned for its strong academic programs and picturesque campus.
-
C.
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.
-
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.
Nanjing University
Nanjing University is one of China’s oldest and most prestigious research universities, renowned for its strong academic programs and historical significance.
- F. None of above. chosen
Statements (56)
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: Sichuan University Description of subject: Sichuan University is a major comprehensive research university in Chengdu, China, known for its wide range of academic disciplines and strong national reputation.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Sichuan University
linked to: Sichuan University
linked to: Sichuan University