hasParameter
P4452
predicate
Indicates that an entity is associated with a specific parameter that defines or constrains some aspect of its behavior, configuration, or characteristics.
All labels observed (26)
| Label | Occurrences |
|---|---|
| hasParameter canonical | 547 |
| parameterizedBy | 75 |
| hasHyperparameter | 44 |
| hasKeyParameter | 40 |
| includeParameter | 13 |
| hasConfigurationParameter | 11 |
| hasConstructorParameter | 11 |
| hasOrderParameter | 7 |
| dependsOnParameter | 5 |
| haveParameter | 4 |
| usesConfigurationParameter | 4 |
| exampleParameter | 3 |
| hasLocationParameter | 3 |
| hasShapeParameter | 3 |
| containsParameter | 2 |
| isParameterIn | 2 |
| usesParameters | 2 |
| constructorParameterRequired | 1 |
| hasEquationOfStateParameter | 1 |
| hasParameterB | 1 |
| hasParameterK | 1 |
| hasParameterLambda | 1 |
| hasParameterR | 1 |
| hasParameterV | 1 |
| isParameterizedBy | 1 |
| method_enqueue_parameters | 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: hasParameter
Generated description
Indicates that an entity is associated with a specific parameter that defines or constrains some aspect of its behavior, configuration, or characteristics.
Sample triples (785)
| Subject | Object |
|---|---|
| Schwarzschild black hole | mass ⓘ |
| Langevin dynamics | friction coefficient ⓘ |
| Langevin dynamics | temperature ⓘ |
| Langevin dynamics | random force amplitude ⓘ |
| Fermi–Dirac statistics | temperature T ⓘ |
| Fermi–Dirac statistics | chemical potential μ ⓘ |
| Fermi–Dirac statistics |
Boltzmann constant
ⓘ
surface form:
Boltzmann constant k
|
| Lorentz transformation | relative velocity between frames via predicate surface "parameterizedBy" ⓘ |
| Lorentz transformation | rapidity via predicate surface "parameterizedBy" ⓘ |
| Rényi entropy | α via predicate surface "hasOrderParameter" ⓘ |
| Tsallis entropy | entropic index q ⓘ |
| de Sitter spacetime | w = -1 via predicate surface "hasEquationOfStateParameter" ⓘ |
| Kerr metric | mass parameter M ⓘ |
| Kerr metric | spin parameter a ⓘ |
| Reissner–Nordström metric | mass parameter M via predicate surface "dependsOnParameter" ⓘ |
| Reissner–Nordström metric | electric charge parameter Q via predicate surface "dependsOnParameter" ⓘ |
| Economic Confidence Model | Pi-based 8.6-year period (approximately 3141 days) via predicate surface "hasKeyParameter" ⓘ |
|
Newtonian fluids
surface form:
Newtonian fluid
|
dynamic viscosity μ ⓘ |
|
Newtonian fluids
surface form:
Newtonian fluid
|
kinematic viscosity ν ⓘ |
| Bardeen black hole model | mass parameter ⓘ |
| Bardeen black hole model | magnetic charge parameter ⓘ |
| Rényi divergence | order α via predicate surface "parameterizedBy" ⓘ |
| Ekman transport | M (Ekman transport per unit width) ⓘ |
| Ekman transport | τ (wind stress) ⓘ |
| Ekman transport | ρ (seawater density) ⓘ |
| Ekman transport | f (Coriolis parameter) ⓘ |
| Kerr–Newman black hole | mass ⓘ |
| Kerr–Newman black hole | angular momentum ⓘ |
| Kerr–Newman black hole | electric charge ⓘ |
| BANZSL | handshape ⓘ |
| BANZSL | location ⓘ |
| BANZSL | movement ⓘ |
| BANZSL | orientation ⓘ |
| BANZSL | non-manual markers ⓘ |
| Ornstein–Uhlenbeck process | long-term mean ⓘ |
| Ornstein–Uhlenbeck process | speed of mean reversion ⓘ |
| Ornstein–Uhlenbeck process | volatility parameter ⓘ |
| Gross–Pitaevskii equation | particle mass ⓘ |
| Gross–Pitaevskii equation | interaction strength ⓘ |
| Gross–Pitaevskii equation | s-wave scattering length ⓘ |
| Gross–Pitaevskii equation | external potential ⓘ |
| Gross–Pitaevskii equation | Planck constant ⓘ |
| Steinmetz’s law of hysteresis | k (Steinmetz coefficient) ⓘ |
| Steinmetz’s law of hysteresis | n (Steinmetz exponent) ⓘ |
| Steinmetz’s law of hysteresis | f (frequency) ⓘ |
| Steinmetz’s law of hysteresis | B_max (maximum flux density) ⓘ |
| Darlington transistor configuration | overall current gain β ≈ β1 × β2 ⓘ |
| Darlington transistor configuration | input impedance increased compared to single transistor ⓘ |
| Darlington transistor configuration | saturation voltage approximately sum of two VCE(sat) ⓘ |
| Darlington transistor configuration | base-emitter voltage approximately sum of two VBE drops ⓘ |