Thuy Loi University
E793493
Thuy Loi University is a Vietnamese higher education institution specializing in water resources, irrigation, and related engineering fields.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Thuy Loi University canonical | 1 |
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
engineering university
ⓘ
higher education institution ⓘ public university ⓘ |
| affiliation | Ministry of Agriculture and Rural Development of Vietnam NERFINISHED ⓘ |
| city | Hanoi ⓘ |
| country |
Viet Nam
ⓘ
surface form:
Vietnam
|
| fieldOfStudy |
engineering
ⓘ
water management ⓘ |
| focusArea |
disaster prevention
ⓘ
flood control ⓘ hydrology ⓘ irrigation systems ⓘ water environment ⓘ water resources development ⓘ |
| hasAlternativeName |
TLU
NERFINISHED
ⓘ
Water Resources University NERFINISHED ⓘ |
| hasCampus |
Central region campus
ⓘ
Hanoi campus NERFINISHED ⓘ Ho Chi Minh City campus ⓘ |
| hasFaculty |
Faculty of Civil Engineering
NERFINISHED
ⓘ
Faculty of Economics and Management NERFINISHED ⓘ Faculty of Environmental Engineering NERFINISHED ⓘ Faculty of Information Technology NERFINISHED ⓘ Faculty of Water Resources Engineering NERFINISHED ⓘ |
| hasType | specialized technical university ⓘ |
| languageOfInstruction | Vietnamese ⓘ |
| locatedIn | Hanoi ⓘ |
| offersProgram |
doctoral programs
ⓘ
graduate programs ⓘ undergraduate programs ⓘ |
| regionServed |
Southeast Asia
ⓘ
Vietnam NERFINISHED ⓘ |
| researchFocus |
climate change adaptation in water sector
ⓘ
dike and dam safety ⓘ irrigation technology ⓘ reservoir operation ⓘ river basin management ⓘ rural water supply ⓘ urban drainage ⓘ water resources planning ⓘ |
| sector | public ⓘ |
| specializesIn |
civil engineering
ⓘ
environmental engineering ⓘ hydraulic engineering ⓘ irrigation ⓘ water resources ⓘ water resources 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: Thuy Loi University Description of subject: Thuy Loi University is a Vietnamese higher education institution specializing in water resources, irrigation, and related engineering fields.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.