CMS computing grid
E561162
distributed computing infrastructure
high‑energy physics computing infrastructure
scientific computing grid
The CMS computing grid is a worldwide distributed computing infrastructure that processes, stores, and analyzes the vast volumes of data generated by the CMS experiment at the Large Hadron Collider.
All labels observed (2)
| Label | Occurrences |
|---|---|
| CMS computing grid canonical | 1 |
| Worldwide LHC Computing Grid | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6010400 — 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: CMS computing grid Context triple: [P5, dataProducedAt, CMS computing grid]
-
A.
High Performance Computing Collaboratory
The High Performance Computing Collaboratory is a major research center specializing in advanced computational science and engineering, supporting large-scale simulations and high-performance computing applications across diverse scientific and industrial domains.
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B.
High‑Performance Computing Center
The High-Performance Computing Center at Lawrence Livermore National Laboratory is a major facility housing advanced supercomputing resources used for national security, scientific research, and large-scale simulations.
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C.
Terascale Simulation Facility
The Terascale Simulation Facility is a high-performance computing center dedicated to large-scale scientific simulations and advanced computational research.
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D.
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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E.
Centre for Collaboration with Data Networks
The Centre for Collaboration with Data Networks is a unit within the Norwegian Institute of Public Health that focuses on coordinating and advancing the use of data networks for public health research, surveillance, and decision-making.
- 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: CMS computing grid Target entity description: The CMS computing grid is a worldwide distributed computing infrastructure that processes, stores, and analyzes the vast volumes of data generated by the CMS experiment at the Large Hadron Collider.
-
A.
High Performance Computing Collaboratory
The High Performance Computing Collaboratory is a major research center specializing in advanced computational science and engineering, supporting large-scale simulations and high-performance computing applications across diverse scientific and industrial domains.
-
B.
High‑Performance Computing Center
The High-Performance Computing Center at Lawrence Livermore National Laboratory is a major facility housing advanced supercomputing resources used for national security, scientific research, and large-scale simulations.
-
C.
Terascale Simulation Facility
The Terascale Simulation Facility is a high-performance computing center dedicated to large-scale scientific simulations and advanced computational research.
-
D.
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.
-
E.
Centre for Collaboration with Data Networks
The Centre for Collaboration with Data Networks is a unit within the Norwegian Institute of Public Health that focuses on coordinating and advancing the use of data networks for public health research, surveillance, and decision-making.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
distributed computing infrastructure
ⓘ
high‑energy physics computing infrastructure ⓘ scientific computing grid ⓘ |
| associatedWith |
data‑intensive science
ⓘ
high‑throughput computing ⓘ |
| collaboratesWith |
national computing centers
ⓘ
university computing facilities ⓘ |
| dataSource | CMS detector NERFINISHED ⓘ |
| enables | distributed analysis by CMS physicists ⓘ |
| field |
distributed systems
ⓘ
experimental particle physics ⓘ scientific computing ⓘ |
| geographicScope | worldwide ⓘ |
| handles | petabyte‑scale datasets ⓘ |
| hasComponent |
Tier‑0 center at CERN
ⓘ
Tier‑1 data centers ⓘ Tier‑2 computing centers ⓘ Tier‑3 local clusters ⓘ |
| implements |
data tiering model
ⓘ
distributed data access ⓘ |
| managedBy | CMS collaboration NERFINISHED ⓘ |
| operatesAt | CERN NERFINISHED ⓘ |
| operatesFor | Compact Muon Solenoid experiment NERFINISHED ⓘ |
| partOf |
CMS experiment
NERFINISHED
ⓘ
Worldwide LHC Computing Grid NERFINISHED ⓘ |
| purpose |
analyze CMS experiment data
ⓘ
process CMS experiment data ⓘ store CMS experiment data ⓘ |
| relatedTo |
ALICE computing grid
ⓘ
ATLAS computing grid NERFINISHED ⓘ LHCb computing grid ⓘ |
| requires |
high‑bandwidth networking
ⓘ
large‑scale storage systems ⓘ reliable data replication ⓘ |
| supports | Large Hadron Collider data processing ⓘ |
| supportsActivity |
Monte Carlo simulation
ⓘ
data calibration ⓘ data reprocessing ⓘ event reconstruction ⓘ physics analysis ⓘ |
| supportsUsersFrom | multiple countries ⓘ |
| timePeriod | LHC era ⓘ |
| uses |
batch processing systems
ⓘ
data management systems ⓘ distributed computing resources ⓘ grid middleware ⓘ job scheduling systems ⓘ |
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: CMS computing grid Description of subject: The CMS computing grid is a worldwide distributed computing infrastructure that processes, stores, and analyzes the vast volumes of data generated by the CMS experiment at the Large Hadron Collider.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Worldwide LHC Computing Grid