Julia
E17648
compiled programming language
dynamic programming language
high-level programming language
numerical computing language
programming language
scientific computing language
Julia is a high-level, high-performance programming language designed for numerical computing, data science, and scientific research, combining the ease of dynamic languages with the speed of compiled languages.
All labels observed (16)
| Label | Occurrences |
|---|---|
| Julia canonical | 18 |
| Julia 0.4 | 2 |
| Julia language | 2 |
| DifferentialEquations.jl | 1 |
| Distributions.jl | 1 |
| Flux.jl | 1 |
| Julia (via Julia compiler) | 1 |
| Julia 0.7 | 1 |
| Julia 1.x | 1 |
| Julia REPL | 1 |
| Julia language runtime | 1 |
| Julia package ecosystem | 1 |
| Julia standard library | 1 |
| JuliaLang | 1 |
| Pkg.jl | 1 |
| StatsBase.jl | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T148080 — 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: Julia Context triple: [Python, influenced, Julia]
-
A.
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.
-
B.
Delphi
Delphi is an ancient Greek sanctuary and archaeological site famed for the Oracle of Apollo and its central role in classical Greek religion and culture.
-
C.
F Reactor
F Reactor was one of the early plutonium production reactors at the Hanford Site in Washington, built during the Manhattan Project to support the U.S. nuclear weapons program.
-
D.
Scratch programming language
Scratch programming language is a visual, block-based coding environment designed primarily for children and beginners to learn programming concepts through creating interactive stories, games, and animations.
-
E.
Pascal
Pascal is a high-level, strongly typed procedural programming language designed by Niklaus Wirth in the late 1960s, widely used for teaching structured programming and data structuring concepts.
- 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: Julia Target entity description: Julia is a high-level, high-performance programming language designed for numerical computing, data science, and scientific research, combining the ease of dynamic languages with the speed of compiled languages.
-
A.
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.
-
B.
Delphi
Delphi is an ancient Greek sanctuary and archaeological site famed for the Oracle of Apollo and its central role in classical Greek religion and culture.
-
C.
F Reactor
F Reactor was one of the early plutonium production reactors at the Hanford Site in Washington, built during the Manhattan Project to support the U.S. nuclear weapons program.
-
D.
Scratch programming language
Scratch programming language is a visual, block-based coding environment designed primarily for children and beginners to learn programming concepts through creating interactive stories, games, and animations.
-
E.
Pascal
Pascal is a high-level, strongly typed procedural programming language designed by Niklaus Wirth in the late 1960s, widely used for teaching structured programming and data structuring concepts.
- F. None of above. chosen
Statements (79)
| Predicate | Object |
|---|---|
| instanceOf |
compiled programming language
ⓘ
dynamic programming language ⓘ high-level programming language ⓘ numerical computing language ⓘ programming language ⓘ scientific computing language ⓘ |
| basedOn | LLVM ⓘ |
| compilesTo | native machine code ⓘ |
| designedFor |
data science
ⓘ
numerical computing ⓘ scientific research ⓘ |
| domain |
data science
ⓘ
machine learning ⓘ numerical analysis ⓘ optimization ⓘ scientific simulation ⓘ |
| goal | combine ease of dynamic languages with speed of compiled languages ⓘ |
| hasExecutionModel | JIT-compiled ⓘ |
| hasFeature |
automatic differentiation support via packages
ⓘ
built-in support for arbitrary-precision arithmetic ⓘ built-in support for complex numbers ⓘ coroutines (Tasks) ⓘ distributed computing support ⓘ first-class functions ⓘ foreign function interface ⓘ garbage collection ⓘ interactive REPL ⓘ just-in-time compilation ⓘ metaprogramming with generated functions ⓘ metaprogramming with macros ⓘ multiple dispatch ⓘ multiple return values ⓘ package manager ⓘ parametric types ⓘ type inference ⓘ |
| hasFileExtension | .jl ⓘ |
| hasPackageRepository | General registry ⓘ |
| hasStandardImplementation | reference implementation in Julia language itself ⓘ |
| hasStandardLibrary |
Base
ⓘ
ChakraCore ⓘ
surface form:
Core
Distributed ⓘ LinearAlgebra ⓘ Random ⓘ SparseArrays ⓘ Statistics ⓘ Test ⓘ |
| hasSyntaxSimilarityTo |
MATLAB
ⓘ
surface form:
Matlab
Python ⓘ |
| influenced | scientific computing ecosystem ⓘ |
| influencedBy |
C
ⓘ
Lisp programming language ⓘ
surface form:
Lisp
Lua ⓘ MATLAB ⓘ
surface form:
Matlab
Perl ⓘ Python ⓘ R ⓘ Ruby ⓘ |
| paradigm | multi-paradigm ⓘ |
| supports |
GPU computing via packages
ⓘ
Unicode identifiers ⓘ calling C and Fortran libraries ⓘ calling Python libraries via PyCall ⓘ generic programming ⓘ immutable types ⓘ metaprogramming ⓘ modules and namespaces ⓘ multiple dispatch ⓘ multiple dispatch-based polymorphism ⓘ mutable types ⓘ parallel computing ⓘ unit testing via Test standard library ⓘ user-defined types ⓘ |
| supportsParadigm |
functional programming
ⓘ
metaprogramming ⓘ object-oriented programming (via multiple dispatch) ⓘ procedural programming ⓘ |
| typingDiscipline |
dynamic typing
ⓘ
optional type annotations ⓘ strong typing ⓘ |
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: Julia Description of subject: Julia is a high-level, high-performance programming language designed for numerical computing, data science, and scientific research, combining the ease of dynamic languages with the speed of compiled languages.
Referenced by (35)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Julia REPL
this entity surface form:
Julia (via Julia compiler)
subject surface form:
Lisp
this entity surface form:
Pkg.jl
this entity surface form:
Julia package ecosystem
this entity surface form:
Julia 0.4
this entity surface form:
Julia language runtime
this entity surface form:
Julia 0.7
this entity surface form:
JuliaLang
this entity surface form:
Julia language
this entity surface form:
Julia 1.x
this entity surface form:
Julia standard library
this entity surface form:
Julia 0.4