China University of Mining and Technology
E258506
China University of Mining and Technology is a prominent Chinese national university known for its strong engineering and mining programs and contributions to energy and resource-related research.
All labels observed (5)
| Label | Occurrences |
|---|---|
| China University of Mining and Technology canonical | 2 |
| CUMT | 1 |
| China Institute of Mining and Technology | 1 |
| China University of Mining and Technology Beijing | 1 |
| 中国矿业大学 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2066561 — 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: China University of Mining and Technology Context triple: [Eric Yuan, education, China University of Mining and Technology]
-
A.
Nanjing University of Science and Technology
Nanjing University of Science and Technology is a prominent Chinese research university known for its strong programs in engineering, science, and technology.
-
B.
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.
-
C.
Hefei University of Technology
Hefei University of Technology is a major national key university in China known for its strong engineering, science, and technology programs.
-
D.
University of Shanghai for Science and Technology
The University of Shanghai for Science and Technology is a comprehensive public university in Shanghai, China, known for its strong engineering, science, and management programs and close ties to industry.
-
E.
China University of Geosciences (Wuhan)
China University of Geosciences (Wuhan) is a prominent Chinese national university renowned for its programs and research in geology, earth sciences, and related disciplines.
- 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: China University of Mining and Technology Target entity description: China University of Mining and Technology is a prominent Chinese national university known for its strong engineering and mining programs and contributions to energy and resource-related research.
-
A.
Nanjing University of Science and Technology
Nanjing University of Science and Technology is a prominent Chinese research university known for its strong programs in engineering, science, and technology.
-
B.
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.
-
C.
Hefei University of Technology
Hefei University of Technology is a major national key university in China known for its strong engineering, science, and technology programs.
-
D.
University of Shanghai for Science and Technology
The University of Shanghai for Science and Technology is a comprehensive public university in Shanghai, China, known for its strong engineering, science, and management programs and close ties to industry.
-
E.
China University of Geosciences (Wuhan)
China University of Geosciences (Wuhan) is a prominent Chinese national university renowned for its programs and research in geology, earth sciences, and related disciplines.
- F. None of above. chosen
Statements (55)
| Predicate | Object |
|---|---|
| instanceOf |
national key university
ⓘ
public university ⓘ research university ⓘ |
| affiliation | Ministry of Education of the People's Republic of China ⓘ |
| country | China ⓘ |
| focusesOn |
clean coal technology
ⓘ
energy engineering ⓘ environmental protection in mining ⓘ geological exploration ⓘ mine safety ⓘ mineral resources ⓘ resource utilization ⓘ |
| formerName |
China Institute of Mining and Technology
ⓘ
linked to:
China University of Mining and Technology
Jiaozuo School of Railroad and Mines ⓘ
linked to:
Xinxiang University
|
| hasCampus |
Beijing campus
ⓘ
Xuzhou campus ⓘ |
| hasDisciplineStrength |
control science and engineering
ⓘ
geological resources and geological engineering ⓘ mechanical engineering ⓘ mining engineering ⓘ safety science and engineering ⓘ |
| hasFaculty |
School of Chemical Engineering and Technology
ⓘ
School of Chemistry and Chemical Engineering ⓘ School of Energy and Mining Engineering ⓘ School of Environment and Spatial Informatics ⓘ School of Foreign Studies ⓘ School of Humanities and Arts ⓘ School of Information and Control Engineering ⓘ School of Management ⓘ School of Marxism ⓘ School of Mathematics ⓘ School of Mechanical and Electrical Engineering ⓘ School of Mines ⓘ School of Physics ⓘ School of Resources and Geosciences ⓘ School of Safety Engineering ⓘ |
| hasMotto | 明德至善，博学笃行 ⓘ |
| knownFor |
coal science and technology
ⓘ
energy research ⓘ geological engineering ⓘ mining engineering ⓘ resource-related research ⓘ safety engineering ⓘ |
| languageOfInstruction | Chinese ⓘ |
| mainCampusLocation |
Xuzhou, Jiangsu, China
ⓘ
linked to:
Xuzhou
|
| nativeName |
中国矿业大学
ⓘ
linked to:
China University of Mining and Technology
|
| offersDegree |
bachelor's degree
ⓘ
doctoral degree ⓘ master's degree ⓘ |
| otherCampusLocation |
Beijing, China
ⓘ
linked to:
Beijing
|
| participatesIn |
Double First Class University Plan
ⓘ
Project 211 ⓘ |
| shortName |
CUMT
ⓘ
linked to:
China University of Mining and Technology
|
| type |
engineering university
ⓘ
mining university ⓘ |
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: China University of Mining and Technology Description of subject: China University of Mining and Technology is a prominent Chinese national university known for its strong engineering and mining programs and contributions to energy and resource-related research.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: China University of Mining and Technology
linked to: China University of Mining and Technology
linked to: China University of Mining and Technology
linked to: China University of Mining and Technology