National Energy Research Scientific Computing Center
E47321
The National Energy Research Scientific Computing Center is a leading U.S. Department of Energy high-performance computing facility that provides advanced computational resources and support for large-scale scientific research.
All labels observed (2)
| Label | Occurrences |
|---|---|
| National Energy Research Scientific Computing Center canonical | 3 |
| NERSC | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T373550 — 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: National Energy Research Scientific Computing Center Context triple: [Lawrence Berkeley National Laboratory, operates, National Energy Research Scientific Computing Center]
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A.
National Center for Supercomputing Applications
The National Center for Supercomputing Applications is a leading U.S. research institution known for pioneering high-performance computing technologies and software, including early web browser development.
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B.
Argonne National Laboratory
Argonne National Laboratory is a major U.S. Department of Energy research center near Chicago, renowned for pioneering work in nuclear energy and broad multidisciplinary science and engineering.
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C.
Lawrence Berkeley National Laboratory
Lawrence Berkeley National Laboratory is a U.S. Department of Energy national research laboratory in Berkeley, California, renowned for pioneering work in nuclear and particle physics, chemistry, and energy sciences.
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D.
Brookhaven National Laboratory
Brookhaven National Laboratory is a major U.S. Department of Energy research facility on Long Island known for its cutting-edge work in nuclear and particle physics, materials science, and energy research.
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E.
Oak Ridge National Laboratory
Oak Ridge National Laboratory is a major U.S. Department of Energy research facility in Tennessee known for its pioneering work in nuclear science, energy technologies, and advanced materials.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: National Energy Research Scientific Computing Center Target entity description: The National Energy Research Scientific Computing Center is a leading U.S. Department of Energy high-performance computing facility that provides advanced computational resources and support for large-scale scientific research.
-
A.
National Center for Supercomputing Applications
The National Center for Supercomputing Applications is a leading U.S. research institution known for pioneering high-performance computing technologies and software, including early web browser development.
-
B.
Argonne National Laboratory
Argonne National Laboratory is a major U.S. Department of Energy research center near Chicago, renowned for pioneering work in nuclear energy and broad multidisciplinary science and engineering.
-
C.
Lawrence Berkeley National Laboratory
Lawrence Berkeley National Laboratory is a U.S. Department of Energy national research laboratory in Berkeley, California, renowned for pioneering work in nuclear and particle physics, chemistry, and energy sciences.
-
D.
Brookhaven National Laboratory
Brookhaven National Laboratory is a major U.S. Department of Energy research facility on Long Island known for its cutting-edge work in nuclear and particle physics, materials science, and energy research.
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E.
Oak Ridge National Laboratory
Oak Ridge National Laboratory is a major U.S. Department of Energy research facility in Tennessee known for its pioneering work in nuclear science, energy technologies, and advanced materials.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
U.S. Department of Energy user facility
ⓘ
high-performance computing facility ⓘ scientific research center ⓘ |
| abbreviation |
National Energy Research Scientific Computing Center
self-linksurface differs
ⓘ
surface form:
NERSC
|
| accessMode | peer-reviewed allocation process ⓘ |
| collaboratesWith |
international research institutions
ⓘ
other DOE national laboratories ⓘ universities ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| focus | open, unclassified research ⓘ |
| fundedBy |
Office of Science
ⓘ
surface form:
U.S. Department of Energy Office of Science
|
| hasSupercomputer | Perlmutter ⓘ |
| locatedIn |
Berkeley
ⓘ
California, United States ⓘ
surface form:
California
United States of America ⓘ
surface form:
United States
|
| mission |
enable large-scale scientific simulations and data analysis
ⓘ
provide high-performance computing resources for open scientific research ⓘ |
| operatedBy | Lawrence Berkeley National Laboratory ⓘ |
| parentOrganization |
Office of Science
ⓘ
surface form:
DOE Office of Science
U.S. Department of Energy ⓘ |
| Perlmutter |
architecture:GPU-accelerated system
ⓘ
instanceOf:supercomputer ⓘ |
| primaryCampus | Lawrence Berkeley National Laboratory ⓘ |
| provides |
data analysis platforms
ⓘ
high-performance storage systems ⓘ scientific computing support services ⓘ supercomputing resources ⓘ |
| recognizedAs |
U.S. Department of Energy Office of Science user facilities
ⓘ
surface form:
DOE Office of Science user facility
|
| researchArea |
data-intensive computing
ⓘ
exascale computing preparation ⓘ scientific software development ⓘ workflow and data management ⓘ |
| supportsField |
astrophysics
ⓘ
biosciences ⓘ chemistry ⓘ climate science ⓘ computational science ⓘ fusion energy science ⓘ high-energy physics ⓘ materials science ⓘ nuclear physics ⓘ |
| supportsProgram | DOE Office of Science research programs ⓘ |
| userCommunity |
DOE Office of Science researchers
ⓘ
national laboratory researchers ⓘ university researchers ⓘ |
| website | https://www.nersc.gov/ ⓘ |
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: National Energy Research Scientific Computing Center Description of subject: The National Energy Research Scientific Computing Center is a leading U.S. Department of Energy high-performance computing facility that provides advanced computational resources and support for large-scale scientific research.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.