Department of Mechanical Engineering
E1017161
The Department of Mechanical Engineering is an academic unit within Diponegoro University's Faculty of Engineering that focuses on education and research in mechanical systems, design, and related engineering fields.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Department of Mechanical Engineering canonical | 1 |
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
mechanical engineering department ⓘ |
| academicLevel |
graduate
ⓘ
undergraduate ⓘ |
| affiliatedWith | Diponegoro University NERFINISHED ⓘ |
| country | Indonesia ⓘ |
| discipline | engineering ⓘ |
| engagesIn |
engineering research
ⓘ
industry collaboration ⓘ laboratory-based education ⓘ |
| fieldOfStudy |
control engineering
ⓘ
energy systems ⓘ engineering design ⓘ manufacturing engineering ⓘ materials engineering ⓘ mechanical engineering ⓘ mechanical systems ⓘ mechatronics ⓘ thermal engineering ⓘ |
| focusesOn |
analysis of mechanical systems
ⓘ
design of mechanical systems ⓘ development of mechanical technology ⓘ |
| hasAcademicStaff | lecturers in mechanical engineering ⓘ |
| hasDivision |
energy and thermal systems
ⓘ
manufacturing and production engineering ⓘ mechanical design ⓘ |
| hasParentOrganization | Diponegoro University NERFINISHED ⓘ |
| hasRole |
education
ⓘ
research ⓘ |
| hasStudentBody | mechanical engineering students ⓘ |
| languageOfInstruction |
English
ⓘ
Indonesian ⓘ |
| locatedInAdministrativeTerritorialEntity |
Central Java
NERFINISHED
ⓘ
Semarang NERFINISHED ⓘ |
| locatedInCountry | Indonesia NERFINISHED ⓘ |
| locatedInOrganization | Diponegoro University campus ⓘ |
| offersProgram | Bachelor in Mechanical Engineering ⓘ |
| partOf | Faculty of Engineering, Diponegoro University NERFINISHED ⓘ |
| sector | higher education ⓘ |
| typeOfEducation | STEM education ⓘ |
| usesFacility |
computer-aided design laboratories
ⓘ
mechanical engineering laboratories ⓘ |
| usesMethod |
practical training
ⓘ
project-based learning ⓘ theoretical instruction ⓘ |
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: Department of Mechanical Engineering Description of subject: The Department of Mechanical Engineering is an academic unit within Diponegoro University's Faculty of Engineering that focuses on education and research in mechanical systems, design, and related engineering fields.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Faculty of Engineering, Diponegoro University