Shanghai University of Electric Power
E251978
Shanghai University of Electric Power is a specialized higher education institution in Shanghai, China, focused on engineering and energy-related disciplines.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Shanghai University of Electric Power canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2050757 — 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: Shanghai University of Electric Power Context triple: [Yangpu District, hasUniversity, Shanghai University of Electric Power]
-
A.
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.
-
B.
East China University of Science and Technology
East China University of Science and Technology is a prominent research-oriented university in Shanghai, China, known for its strengths in chemical engineering, materials science, and related technological disciplines.
-
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.
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.
-
E.
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.
- 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: Shanghai University of Electric Power Target entity description: Shanghai University of Electric Power is a specialized higher education institution in Shanghai, China, focused on engineering and energy-related disciplines.
-
A.
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.
-
B.
East China University of Science and Technology
East China University of Science and Technology is a prominent research-oriented university in Shanghai, China, known for its strengths in chemical engineering, materials science, and related technological disciplines.
-
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.
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.
-
E.
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.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
engineering university
ⓘ
higher education institution ⓘ public university ⓘ |
| city | Shanghai ⓘ |
| country | China ⓘ |
| educationalLevel |
bachelor
ⓘ
doctorate ⓘ master ⓘ |
| fieldOfActivity |
higher education
ⓘ
scientific research ⓘ technology transfer ⓘ |
| focusesOn |
energy-related disciplines
ⓘ
engineering ⓘ |
| hasCampusType | urban campus ⓘ |
| hasCollaborationType |
industry-university cooperation
ⓘ
international academic exchange ⓘ |
| hasDiscipline |
arts
ⓘ
computer science ⓘ economics ⓘ engineering ⓘ environmental engineering ⓘ foreign languages ⓘ law ⓘ management ⓘ science ⓘ |
| hasResearchArea |
energy efficiency
ⓘ
environmental protection in power industry ⓘ power systems ⓘ renewable energy ⓘ smart grid ⓘ |
| knownFor |
energy technology research
ⓘ
training professionals for the electric power industry ⓘ |
| languageOfInstruction | Chinese ⓘ |
| locatedIn |
Shanghai
ⓘ
surface form:
Shanghai, China
|
| offersProgramLanguage | Chinese-taught programs ⓘ |
| offersProgramType |
doctoral programs
ⓘ
postgraduate programs ⓘ undergraduate programs ⓘ |
| region |
eastern China
ⓘ
surface form:
East China
|
| sector | tertiary education ⓘ |
| servesIndustry |
electric power industry
ⓘ
energy sector ⓘ |
| specialization |
automation
ⓘ
electric power engineering ⓘ electrical engineering ⓘ energy engineering ⓘ mechanical engineering ⓘ |
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: Shanghai University of Electric Power Description of subject: Shanghai University of Electric Power is a specialized higher education institution in Shanghai, China, focused on engineering and energy-related disciplines.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Yangpu District