Trustworthy Systems group
E850678
The Trustworthy Systems group is a research team focused on developing mathematically verified, high-assurance software and operating systems, best known for work such as the seL4 microkernel.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Trustworthy Systems group canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10216138 — 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: Trustworthy Systems group Context triple: [Gerwin Klein, affiliation, Trustworthy Systems group]
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A.
Security and Protection Group
The Security and Protection Group is a specialized unit within the Northern Ireland Office responsible for overseeing security, protection, and related risk management activities in Northern Ireland.
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B.
Interdisciplinary Centre for Security, Reliability and Trust
The Interdisciplinary Centre for Security, Reliability and Trust is a research institute of the University of Luxembourg focused on advancing secure, trustworthy, and reliable information and communication technologies across multiple disciplines.
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C.
Computer Systems Research Group
The Computer Systems Research Group was a research team at the University of California, Berkeley, best known for creating and advancing the Berkeley Software Distribution (BSD) version of Unix.
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D.
Information and Communication Systems Group
The Information and Communication Systems Group is a Mitsubishi Electric business division focused on developing and providing information technology and communication infrastructure solutions.
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E.
Software and Societal Systems Department
The Software and Societal Systems Department is a Carnegie Mellon University academic unit focused on the design, analysis, and governance of software systems in their broader social, organizational, and policy contexts.
- 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: Trustworthy Systems group Target entity description: The Trustworthy Systems group is a research team focused on developing mathematically verified, high-assurance software and operating systems, best known for work such as the seL4 microkernel.
-
A.
Security and Protection Group
The Security and Protection Group is a specialized unit within the Northern Ireland Office responsible for overseeing security, protection, and related risk management activities in Northern Ireland.
-
B.
Interdisciplinary Centre for Security, Reliability and Trust
The Interdisciplinary Centre for Security, Reliability and Trust is a research institute of the University of Luxembourg focused on advancing secure, trustworthy, and reliable information and communication technologies across multiple disciplines.
-
C.
Computer Systems Research Group
The Computer Systems Research Group was a research team at the University of California, Berkeley, best known for creating and advancing the Berkeley Software Distribution (BSD) version of Unix.
-
D.
Information and Communication Systems Group
The Information and Communication Systems Group is a Mitsubishi Electric business division focused on developing and providing information technology and communication infrastructure solutions.
-
E.
Software and Societal Systems Department
The Software and Societal Systems Department is a Carnegie Mellon University academic unit focused on the design, analysis, and governance of software systems in their broader social, organizational, and policy contexts.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
research group
ⓘ
software systems research group ⓘ |
| applicationDomain |
defence and aerospace software
ⓘ
embedded and cyber-physical systems ⓘ infrastructure control systems ⓘ safety-critical systems ⓘ security-critical systems ⓘ |
| approach |
machine-checked mathematical proofs
ⓘ
modeling of system behavior in formal logics ⓘ use of theorem provers for software verification ⓘ |
| fieldOfWork |
embedded systems
ⓘ
formal verification ⓘ high-assurance software ⓘ microkernels ⓘ operating systems ⓘ program verification ⓘ real-time systems ⓘ systems security ⓘ |
| focusesOn |
correctness-by-construction
ⓘ
eliminating entire classes of software bugs ⓘ |
| goal |
bridge the gap between formal methods and real-world systems
ⓘ
build trustworthy software systems ⓘ provide strong assurance guarantees for critical software ⓘ |
| knownFor |
high-assurance microkernel design
ⓘ
machine-checked proofs of correctness for OS kernels ⓘ scalable formal verification of real-world systems ⓘ seL4 microkernel NERFINISHED ⓘ |
| notableWork |
formally verified operating systems
ⓘ
high-assurance system software ⓘ seL4 microkernel NERFINISHED ⓘ |
| product |
formally verified system components
ⓘ
verification frameworks ⓘ verified microkernel implementations ⓘ |
| researchFocus |
capability-based security
ⓘ
end-to-end assurance of software systems ⓘ formal methods for systems software ⓘ information-flow security ⓘ mathematically verified software ⓘ verification of concurrent systems ⓘ verification of operating system kernels ⓘ verification of safety properties ⓘ verification of security properties ⓘ verification toolchains ⓘ verified C code ⓘ |
| usesMethod |
formal verification
ⓘ
model checking ⓘ proof-carrying code ⓘ refinement-based development ⓘ theorem proving ⓘ |
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: Trustworthy Systems group Description of subject: The Trustworthy Systems group is a research team focused on developing mathematically verified, high-assurance software and operating systems, best known for work such as the seL4 microkernel.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.