Tianjin University
E165909
Double First Class University Plan university
Project 211 university
Project 985 university
national key university
public research university
Tianjin University is a leading national research university in China, renowned for its strong engineering programs and status as the country’s first modern higher education institution.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Tianjin University canonical | 5 |
| Imperial Tientsin University | 1 |
| 天津大学 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1453187 — 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: Tianjin University Context triple: [Tianjin, hasUniversity, Tianjin University]
-
A.
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.
-
B.
Xi'an Jiaotong University
Xi'an Jiaotong University is a major national research university in China known for its strong engineering, technology, and management programs and its status as a member of the prestigious C9 League.
-
C.
Tongji University
Tongji University is a prestigious comprehensive research university in Shanghai, China, renowned for its strengths in engineering, architecture, and urban planning.
-
D.
Northwestern Polytechnical University
Northwestern Polytechnical University is a leading Chinese research university known for its strengths in aeronautics, astronautics, and marine engineering.
-
E.
South China University of Technology
South China University of Technology is a major national research university in Guangzhou, China, 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: Tianjin University Target entity description: Tianjin University is a leading national research university in China, renowned for its strong engineering programs and status as the country’s first modern higher education institution.
-
A.
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.
-
B.
Xi'an Jiaotong University
Xi'an Jiaotong University is a major national research university in China known for its strong engineering, technology, and management programs and its status as a member of the prestigious C9 League.
-
C.
Tongji University
Tongji University is a prestigious comprehensive research university in Shanghai, China, renowned for its strengths in engineering, architecture, and urban planning.
-
D.
Northwestern Polytechnical University
Northwestern Polytechnical University is a leading Chinese research university known for its strengths in aeronautics, astronautics, and marine engineering.
-
E.
South China University of Technology
South China University of Technology is a major national research university in Guangzhou, China, renowned for its strong engineering, science, and technology programs.
- F. None of above. chosen
Statements (52)
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: Tianjin University Description of subject: Tianjin University is a leading national research university in China, renowned for its strong engineering programs and status as the country’s first modern higher education institution.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
天津大学
this entity surface form:
Imperial Tientsin University