Type Parameter Syntax
E265437
Type Parameter Syntax is the Python language feature introduced by PEP 695 that provides a concise, built-in way to declare and use type parameters for generics directly in function, class, and type alias definitions.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Type Parameter Syntax canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2417377 — 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: Type Parameter Syntax Context triple: [PEP 695, hasTitle, Type Parameter Syntax]
-
A.
Mathematike Syntaxis
Mathematike Syntaxis, better known by its later Arabic-derived title Almagest, is Ptolemy’s foundational astronomical treatise that systematically presents the geocentric model of the cosmos and dominated Western and Islamic astronomy for over a millennium.
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B.
Structural Pattern Matching
Structural Pattern Matching is a Python language feature, introduced via PEP 622, that enables powerful, declarative matching of complex data structures using a `match`/`case` syntax.
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C.
Hindley–Milner type system
The Hindley–Milner type system is a classical polymorphic type system used in many functional programming languages, notable for enabling type inference without explicit type annotations.
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D.
Common Type System
The Common Type System is a core component of the .NET architecture that defines how data types are declared, used, and managed across different .NET languages to ensure interoperability and type safety.
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E.
TypeScript programming language
TypeScript is a statically typed superset of JavaScript that adds optional type annotations and modern language features to improve large-scale application development.
- 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: Type Parameter Syntax Target entity description: Type Parameter Syntax is the Python language feature introduced by PEP 695 that provides a concise, built-in way to declare and use type parameters for generics directly in function, class, and type alias definitions.
-
A.
Mathematike Syntaxis
Mathematike Syntaxis, better known by its later Arabic-derived title Almagest, is Ptolemy’s foundational astronomical treatise that systematically presents the geocentric model of the cosmos and dominated Western and Islamic astronomy for over a millennium.
-
B.
Structural Pattern Matching
Structural Pattern Matching is a Python language feature, introduced via PEP 622, that enables powerful, declarative matching of complex data structures using a `match`/`case` syntax.
-
C.
Hindley–Milner type system
The Hindley–Milner type system is a classical polymorphic type system used in many functional programming languages, notable for enabling type inference without explicit type annotations.
-
D.
Common Type System
The Common Type System is a core component of the .NET architecture that defines how data types are declared, used, and managed across different .NET languages to ensure interoperability and type safety.
-
E.
TypeScript programming language
TypeScript is a statically typed superset of JavaScript that adds optional type annotations and modern language features to improve large-scale application development.
- F. None of above. chosen
Statements (38)
| Predicate | Object |
|---|---|
| instanceOf |
Python language feature
ⓘ
type system feature ⓘ |
| affects | static type checkers for Python ⓘ |
| allows |
declaration of type parameters inline with class name
ⓘ
declaration of type parameters inline with function name ⓘ declaration of type parameters inline with type alias name ⓘ |
| category |
Python generic types
ⓘ
surface form:
Python generics
Python typing ⓘ |
| compatibleWith | existing TypeVar-based generics ⓘ |
| designMotivation |
avoid separate TypeVar declarations far from their use
ⓘ
unify generic syntax across functions, classes, and type aliases ⓘ |
| documentedIn |
PEP 695
ⓘ
surface form:
PEP 695: Type Parameter Syntax
|
| enables |
clearer declaration of higher-order generics
ⓘ
more expressive generic type aliases ⓘ |
| goal |
improve static type checking of generics
ⓘ
make generics easier to read ⓘ reduce boilerplate for generic code ⓘ |
| influences | style of modern Python generic code ⓘ |
| introducedBy | PEP 695 ⓘ |
| introducedInLanguage | Python ⓘ |
| partOf | Python typing enhancements introduced after PEP 484 ⓘ |
| provides |
built-in syntax for generics
ⓘ
concise way to declare type parameters ⓘ |
| relatedTo |
ParamSpec
ⓘ
TypeVar ⓘ TypeVarTuple ⓘ |
| replaces | typing.TypeVar-based generic parameter declarations in many cases ⓘ |
| standardizedIn | Python type system ⓘ |
| status | accepted PEP feature ⓘ |
| supports |
bounds on type parameters
ⓘ
constraints on type parameters ⓘ default values for type parameters ⓘ generic programming ⓘ variance annotations for type parameters ⓘ |
| syntaxStyle | square-bracket parameter list after the name ⓘ |
| usedIn |
class definitions
ⓘ
function definitions ⓘ type alias definitions ⓘ |
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: Type Parameter Syntax Description of subject: Type Parameter Syntax is the Python language feature introduced by PEP 695 that provides a concise, built-in way to declare and use type parameters for generics directly in function, class, and type alias definitions.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.