accelerates
P3962
predicate
Indicates that one entity causes an increase in the speed or rate of change of another entity or process.
All labels observed (8)
| Label | Occurrences |
|---|---|
| accelerates canonical | 46 |
| acceleratesParticle | 8 |
| acceleratedParticle | 4 |
| accelerationMethod | 3 |
| accelerated | 1 |
| canIncreaseSpeedTo | 1 |
| easeInDescription | 1 |
| increasesSpeedWhen | 1 |
Description generation (PDg)
The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.
Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning. # Instructions Focus on describing the relationship, not the entities themselves. # Response Format Begin the description with \' Indicates...\'
Input
Predicate: accelerates
Generated description
Indicates that one entity causes an increase in the speed or rate of change of another entity or process.
Sample triples (65)
| Subject | Object |
|---|---|
| Linac4 | protons ⓘ |
| Linac4 | H- ions ⓘ |
| Super Proton Synchrotron | protons via predicate surface "acceleratesParticle" ⓘ |
| Super Proton Synchrotron | heavy ions via predicate surface "acceleratesParticle" ⓘ |
| Super Proton Synchrotron | electrons (historically via secondary beams) via predicate surface "acceleratesParticle" ⓘ |
| Proton Synchrotron | protons ⓘ |
| Proton Synchrotron | ions ⓘ |
| Proton Synchrotron | antiprotons ⓘ |
|
drift tube linac (DTL)
surface form:
drift tube linac
|
charged particles ⓘ |
|
drift tube linac (DTL)
surface form:
drift tube linac
|
ion beams ⓘ |
|
drift tube linac (DTL)
surface form:
drift tube linac
|
proton beams ⓘ |
|
drift tube linac (DTL)
surface form:
drift tube linac
|
heavy ion beams ⓘ |
| CERN accelerator complex | protons ⓘ |
| CERN accelerator complex | heavy ions ⓘ |
| CERN accelerator complex | electrons (in specific facilities historically and test setups) ⓘ |
| CERN accelerator complex | antiprotons (via production and deceleration chains) ⓘ |
| Proton Synchrotron Booster | proton ⓘ |
|
SPS
surface form:
Super Proton Synchrotron
|
protons ⓘ |
|
SPS
surface form:
Super Proton Synchrotron
|
heavy ions ⓘ |
|
SPS
surface form:
Super Proton Synchrotron
|
electrons ⓘ |
|
SPS
surface form:
Super Proton Synchrotron
|
positrons ⓘ |
| PS | proton via predicate surface "acceleratesParticle" ⓘ |
| PS | antiproton via predicate surface "acceleratesParticle" ⓘ |
| PS | ion via predicate surface "acceleratesParticle" ⓘ |
| PS | electron (via secondary beams and related facilities) via predicate surface "acceleratesParticle" ⓘ |
| PS | radio-frequency cavities via predicate surface "accelerationMethod" ⓘ |
| DTL | charged particle beam ⓘ |
| DTL | proton beam ⓘ |
| DTL | ion beam ⓘ |
| LINAC3 | heavy ions ⓘ |
| LINAC3 | Pb ions ⓘ |
| Tevatron | proton via predicate surface "acceleratedParticle" ⓘ |
| Tevatron | antiproton via predicate surface "acceleratedParticle" ⓘ |
| Booster synchrotron | protons ⓘ |
| Booster synchrotron | radio-frequency acceleration via predicate surface "accelerationMethod" ⓘ |
| LCLS-II | electrons ⓘ |
| Traffic-Aware Cruise Control | return to set speed when lane ahead is clear via predicate surface "canIncreaseSpeedTo" ⓘ |
| PSB | proton via predicate surface "acceleratesParticle" ⓘ |
| proton–antiproton collider at CERN | protons ⓘ |
| proton–antiproton collider at CERN | antiprotons ⓘ |
| Tensor Cores | neural network training ⓘ |
| Tensor Cores | neural network inference ⓘ |
| Tensor Cores | convolution operations ⓘ |
| Tensor Cores | matrix multiplication ⓘ |
| DoQ | DNS queries ⓘ |
| Fermilab Booster | proton ⓘ |
| Main Injector at Fermilab | protons ⓘ |
| Main Injector at Fermilab | antiprotons ⓘ |
| Fermilab Linac | protons ⓘ |
| AWAKE collaboration | electrons ⓘ |