https://www.nrec.ri.cmu.edu/
E793362
The website https://www.nrec.ri.cmu.edu/ is the official online presence of Carnegie Mellon University's National Robotics Engineering Center, showcasing its robotics research, projects, and industry collaborations.
All labels observed (1)
| Label | Occurrences |
|---|---|
| https://www.nrec.ri.cmu.edu/ canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9354496 — 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.
Target entity: https://www.nrec.ri.cmu.edu/ Context triple: [National Robotics Engineering Center, website, https://www.nrec.ri.cmu.edu/]
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A.
School of Computer Science at Carnegie Mellon University
The School of Computer Science at Carnegie Mellon University is a world-renowned academic and research institution recognized for pioneering contributions across computer science, artificial intelligence, robotics, and related fields.
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B.
Institute for Software Research, Carnegie Mellon University
The Institute for Software Research at Carnegie Mellon University is a leading academic center focused on research and education in software engineering, cybersecurity, privacy, and socio-technical systems.
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C.
Carnegie Mellon University–University of Pittsburgh Center for the Neural Basis of Cognition
The Carnegie Mellon University–University of Pittsburgh Center for the Neural Basis of Cognition is a joint research and education center that integrates neuroscience, psychology, and computational approaches to study how the brain gives rise to cognition.
-
D.
Brown University Department of Computer Science
The Brown University Department of Computer Science is a leading academic and research department known for pioneering work in computer graphics, visualization, and theoretical computer science.
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E.
MIT Laboratory for Computer Graphics and Spatial Analysis
The MIT Laboratory for Computer Graphics and Spatial Analysis was a pioneering research lab at MIT that advanced computer graphics, mapping, and geographic information systems, laying groundwork for modern GIS technology.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: https://www.nrec.ri.cmu.edu/ Target entity description: The website https://www.nrec.ri.cmu.edu/ is the official online presence of Carnegie Mellon University's National Robotics Engineering Center, showcasing its robotics research, projects, and industry collaborations.
-
A.
School of Computer Science at Carnegie Mellon University
The School of Computer Science at Carnegie Mellon University is a world-renowned academic and research institution recognized for pioneering contributions across computer science, artificial intelligence, robotics, and related fields.
-
B.
Institute for Software Research, Carnegie Mellon University
The Institute for Software Research at Carnegie Mellon University is a leading academic center focused on research and education in software engineering, cybersecurity, privacy, and socio-technical systems.
-
C.
Carnegie Mellon University–University of Pittsburgh Center for the Neural Basis of Cognition
The Carnegie Mellon University–University of Pittsburgh Center for the Neural Basis of Cognition is a joint research and education center that integrates neuroscience, psychology, and computational approaches to study how the brain gives rise to cognition.
-
D.
Brown University Department of Computer Science
The Brown University Department of Computer Science is a leading academic and research department known for pioneering work in computer graphics, visualization, and theoretical computer science.
-
E.
MIT Laboratory for Computer Graphics and Spatial Analysis
The MIT Laboratory for Computer Graphics and Spatial Analysis was a pioneering research lab at MIT that advanced computer graphics, mapping, and geographic information systems, laying groundwork for modern GIS technology.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
official website
ⓘ
research center website ⓘ |
| accessMethod | web browser ⓘ |
| affiliatedWith |
Carnegie Mellon University
NERFINISHED
ⓘ
Robotics Institute at Carnegie Mellon University NERFINISHED ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| describes |
fielded robotic systems
ⓘ
industry collaborations ⓘ robotics research projects ⓘ technology transfer activities ⓘ |
| hasAudience |
government agencies
ⓘ
industry partners ⓘ prospective employees ⓘ researchers ⓘ students ⓘ |
| hasSection |
about
ⓘ
careers ⓘ news ⓘ projects ⓘ research ⓘ |
| hostedBy | Carnegie Mellon University NERFINISHED ⓘ |
| medium | web ⓘ |
| organizationTypeDescribed |
research and development center
ⓘ
robotics engineering organization ⓘ |
| ownedBy | Carnegie Mellon University NERFINISHED ⓘ |
| partOf | cmu.edu domain ⓘ |
| primaryLanguage | English ⓘ |
| protocol | https ⓘ |
| publisher | National Robotics Engineering Center NERFINISHED ⓘ |
| purpose |
to highlight NREC’s industry collaborations
ⓘ
to present NREC’s robotics research ⓘ to provide contact information for NREC ⓘ to showcase NREC’s projects ⓘ |
| relatedTo |
autonomous vehicles
ⓘ
defense robotics ⓘ field robotics ⓘ industrial automation ⓘ robotics commercialization ⓘ |
| represents | National Robotics Engineering Center NERFINISHED ⓘ |
| subjectArea |
applied robotics research
ⓘ
autonomous systems ⓘ robotics ⓘ robotics engineering ⓘ |
| topLevelDomain | .edu ⓘ |
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.
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.
Subject: https://www.nrec.ri.cmu.edu/ Description of subject: The website https://www.nrec.ri.cmu.edu/ is the official online presence of Carnegie Mellon University's National Robotics Engineering Center, showcasing its robotics research, projects, and industry collaborations.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.