Doctoral School on Safety and Security Sciences
E496963
The Doctoral School on Safety and Security Sciences is a graduate research and training program at Óbuda University focused on advanced studies in safety, security, and risk management.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Doctoral School on Safety and Security Sciences canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5151075 — 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: Doctoral School on Safety and Security Sciences Context triple: [Óbuda University, hasResearchUnit, Doctoral School on Safety and Security Sciences]
-
A.
School of Computer and Cyber Sciences
The School of Computer and Cyber Sciences is an academic unit specializing in computer science, cybersecurity, and related technological disciplines within Augusta University.
-
B.
Master of Science in Information Technology – Privacy Engineering
The Master of Science in Information Technology – Privacy Engineering is a specialized graduate program focused on training professionals to design, build, and manage systems and technologies that rigorously protect privacy and comply with data protection regulations.
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C.
School for Advanced Digital Technology
The School for Advanced Digital Technology is a specialized division of the Southern Alberta Institute of Technology focused on cutting-edge digital skills, innovation, and technology-driven education.
-
D.
USENIX Security
USENIX Security is a leading annual academic conference focused on cutting-edge research in computer security and privacy.
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E.
ACM ICWE
ACM ICWE is a leading annual research conference focused on advances in web engineering, covering the design, development, and evaluation of web-based systems and applications.
- 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: Doctoral School on Safety and Security Sciences Target entity description: The Doctoral School on Safety and Security Sciences is a graduate research and training program at Óbuda University focused on advanced studies in safety, security, and risk management.
-
A.
School of Computer and Cyber Sciences
The School of Computer and Cyber Sciences is an academic unit specializing in computer science, cybersecurity, and related technological disciplines within Augusta University.
-
B.
Master of Science in Information Technology – Privacy Engineering
The Master of Science in Information Technology – Privacy Engineering is a specialized graduate program focused on training professionals to design, build, and manage systems and technologies that rigorously protect privacy and comply with data protection regulations.
-
C.
School for Advanced Digital Technology
The School for Advanced Digital Technology is a specialized division of the Southern Alberta Institute of Technology focused on cutting-edge digital skills, innovation, and technology-driven education.
-
D.
USENIX Security
USENIX Security is a leading annual academic conference focused on cutting-edge research in computer security and privacy.
-
E.
ACM ICWE
ACM ICWE is a leading annual research conference focused on advances in web engineering, covering the design, development, and evaluation of web-based systems and applications.
- F. None of above. chosen
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
doctoral school
ⓘ
doctoral training program ⓘ graduate research program ⓘ |
| academicFocus |
risk management
ⓘ
safety sciences ⓘ security sciences ⓘ |
| affiliation | Óbuda University Doctoral Council NERFINISHED ⓘ |
| city | Budapest NERFINISHED ⓘ |
| country | Hungary ⓘ |
| discipline |
applied sciences
ⓘ
engineering ⓘ management sciences ⓘ |
| educationLevel | doctoral ⓘ |
| goal |
advanced training in safety and security sciences
ⓘ
development of research competencies ⓘ preparation for academic and professional careers in safety and security ⓘ |
| hasComponent |
coursework
ⓘ
doctoral dissertation ⓘ independent research ⓘ |
| hostInstitution | Óbuda University NERFINISHED ⓘ |
| languageOfInstruction |
English
ⓘ
Hungarian ⓘ |
| offersDegree | PhD ⓘ |
| programType |
full-time
ⓘ
part-time ⓘ |
| region | Central Europe ⓘ |
| researchArea |
critical infrastructure protection
ⓘ
cybersecurity ⓘ disaster management ⓘ environmental safety ⓘ industrial safety ⓘ information security ⓘ occupational safety ⓘ risk assessment ⓘ safety engineering ⓘ security management ⓘ transport safety ⓘ |
| targetGroup |
graduate students
ⓘ
professionals in safety and security fields ⓘ researchers ⓘ |
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: Doctoral School on Safety and Security Sciences Description of subject: The Doctoral School on Safety and Security Sciences is a graduate research and training program at Óbuda University focused on advanced studies in safety, security, and risk management.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.