math.dist
E1303126
UNEXPLORED
math.dist is a Python standard library function that computes the Euclidean distance between two points in n-dimensional space.
All labels observed (1)
| Label | Occurrences |
|---|---|
| math.dist canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T18050569 — 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: math.dist Context triple: [math (Python module), function, math.dist]
-
A.
Measures of Distance
Measures of Distance is a 1988 video art piece by Mona Hatoum that layers intimate letters from her mother with fragmented images and sound to explore themes of exile, memory, and the complexities of mother–daughter relationships.
-
B.
Chebyshev distance (L-infinity metric)
Chebyshev distance (L-infinity metric) is a distance measure on a grid or in n-dimensional space defined as the maximum absolute difference along any coordinate axis between two points.
-
C.
distance covariance
Distance covariance is a statistical measure that quantifies dependence between random variables, capable of detecting both linear and nonlinear associations.
-
D.
Media Distancia
Media Distancia is Spain’s network of medium-distance regional train services operated by Renfe, connecting major cities like Madrid with surrounding regions.
-
E.
Mahalanobis distance
Mahalanobis distance is a multivariate measure of the distance between a point and a distribution (or between distributions) that accounts for correlations between variables via the covariance matrix.
- 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: math.dist Target entity description: math.dist is a Python standard library function that computes the Euclidean distance between two points in n-dimensional space.
-
A.
Measures of Distance
Measures of Distance is a 1988 video art piece by Mona Hatoum that layers intimate letters from her mother with fragmented images and sound to explore themes of exile, memory, and the complexities of mother–daughter relationships.
-
B.
Chebyshev distance (L-infinity metric)
Chebyshev distance (L-infinity metric) is a distance measure on a grid or in n-dimensional space defined as the maximum absolute difference along any coordinate axis between two points.
-
C.
distance covariance
Distance covariance is a statistical measure that quantifies dependence between random variables, capable of detecting both linear and nonlinear associations.
-
D.
Media Distancia
Media Distancia is Spain’s network of medium-distance regional train services operated by Renfe, connecting major cities like Madrid with surrounding regions.
-
E.
Mahalanobis distance
Mahalanobis distance is a multivariate measure of the distance between a point and a distribution (or between distributions) that accounts for correlations between variables via the covariance matrix.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.