NumPy
E17659
NumPy is a fundamental Python library that provides efficient multi-dimensional arrays and numerical computing tools widely used in scientific computing and data analysis.
All labels observed (5)
| Label | Occurrences |
|---|---|
| NumPy canonical | 19 |
| NumPy API subset | 1 |
| Numerical Python | 1 |
| jax.numpy | 1 |
| numpy.ndarray | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T148129 — 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: NumPy Context triple: [Python, dataScienceLibrary, NumPy]
-
A.
Python
Python is a high-level, versatile programming language widely used for data analysis, machine learning, web development, and automation.
-
B.
Python Software Foundation
The Python Software Foundation is a non-profit organization that manages the development, licensing, and community support of the Python programming language.
-
C.
Python reference implementation (CPython)
Python reference implementation (CPython) is the original and most widely used implementation of the Python programming language, written in C and serving as the de facto standard for Python behavior and compatibility.
-
D.
Syncopy
Syncopy is a British film production company founded by director Christopher Nolan and producer Emma Thomas, known for backing many of Nolan’s major films.
-
E.
Ada (programming language)
Ada is a statically typed, high-level programming language designed with strong support for reliability, safety, and real-time systems, widely used in mission-critical and embedded applications such as aerospace and defense.
- 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: NumPy Target entity description: NumPy is a fundamental Python library that provides efficient multi-dimensional arrays and numerical computing tools widely used in scientific computing and data analysis.
-
A.
Python
Python is a high-level, versatile programming language widely used for data analysis, machine learning, web development, and automation.
-
B.
Python Software Foundation
The Python Software Foundation is a non-profit organization that manages the development, licensing, and community support of the Python programming language.
-
C.
Python reference implementation (CPython)
Python reference implementation (CPython) is the original and most widely used implementation of the Python programming language, written in C and serving as the de facto standard for Python behavior and compatibility.
-
D.
Syncopy
Syncopy is a British film production company founded by director Christopher Nolan and producer Emma Thomas, known for backing many of Nolan’s major films.
-
E.
Ada (programming language)
Ada is a statically typed, high-level programming language designed with strong support for reliability, safety, and real-time systems, widely used in mission-critical and embedded applications such as aerospace and defense.
- F. None of above. chosen
Statements (60)
| Predicate | Object |
|---|---|
| instanceOf |
Python library
ⓘ
open-source software ⓘ scientific computing library ⓘ software library ⓘ |
| abbreviationOf |
NumPy
self-linksurface differs
ⓘ
surface form:
Numerical Python
|
| compatibleWith |
Python reference implementation (CPython)
ⓘ
surface form:
CPython
PyPy ⓘ |
| coreDataStructure |
NumPy
self-linksurface differs
ⓘ
surface form:
numpy.ndarray
|
| hasAPI |
C-API
ⓘ
Python API ⓘ |
| hasPrimaryLanguage | Python ⓘ |
| implements |
multidimensional array
ⓘ
n-dimensional array ⓘ |
| influenced |
CuPy
ⓘ
JAX ⓘ PyTorch ⓘ SciPy ⓘ TensorFlow ⓘ pandas ⓘ scikit-learn ⓘ |
| license | BSD license ⓘ |
| openSource | true ⓘ |
| partOf |
SciPy
ⓘ
surface form:
Python scientific stack
|
| programmingLanguage | Python ⓘ |
| provides |
Fourier transform functions
ⓘ
array indexing tools ⓘ broadcasting ⓘ linear algebra routines ⓘ masked arrays ⓘ ndarray ⓘ numerical integration helpers ⓘ random number generation ⓘ universal functions ⓘ vectorized operations ⓘ |
| supports |
boolean indexing
ⓘ
broadcasting over dimensions ⓘ broadcasting semantics ⓘ complex numbers ⓘ double-precision floats ⓘ fancy indexing ⓘ integer types ⓘ memory-mapped arrays ⓘ single-precision floats ⓘ structured arrays ⓘ vectorized computation ⓘ |
| usedBy |
data scientists
ⓘ
engineers ⓘ machine learning practitioners ⓘ scientists ⓘ |
| usedFor |
data analysis
ⓘ
image processing ⓘ machine learning workflows ⓘ numerical computing ⓘ prototyping numerical algorithms ⓘ scientific computing ⓘ signal processing ⓘ simulation ⓘ statistical computing ⓘ |
| writtenIn |
C
ⓘ
Python ⓘ |
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: NumPy Description of subject: NumPy is a fundamental Python library that provides efficient multi-dimensional arrays and numerical computing tools widely used in scientific computing and data analysis.
Referenced by (23)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Numerical Python
this entity surface form:
numpy.ndarray
this entity surface form:
NumPy API subset
this entity surface form:
jax.numpy