Python typing module
E887713
The Python typing module is a standard library component that adds support for type hints and static type checking to Python code, enabling clearer interfaces and improved tooling.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Python typing module canonical | 2 |
| Type Hints | 1 |
| typing.Callable | 1 |
| typing.Mapping | 1 |
| typing.overload | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10818206 — 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: Python typing module Context triple: [Ivan Levkivskyi, contributedTo, Python typing module]
-
A.
PEP 484
PEP 484 is the Python Enhancement Proposal that introduced a standard for type hints in Python, forming the basis of the language’s static typing ecosystem.
-
B.
typer
Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), the author of FastAPI.
-
C.
Python generic types
Python generic types are a type system feature that allows developers to write functions, classes, and data structures that operate on values of multiple types while preserving static type information.
-
D.
PEP 647 TypeGuard
PEP 647 TypeGuard is a Python typing feature that allows developers to define user-defined type guard functions, enabling more precise type narrowing and improved static type checking.
-
E.
PEP 613 TypeAlias annotation
PEP 613 TypeAlias annotation is a Python typing feature that introduces a dedicated `TypeAlias` marker to clearly distinguish type alias declarations from regular variable assignments.
- 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: Python typing module Target entity description: The Python typing module is a standard library component that adds support for type hints and static type checking to Python code, enabling clearer interfaces and improved tooling.
-
A.
PEP 484
PEP 484 is the Python Enhancement Proposal that introduced a standard for type hints in Python, forming the basis of the language’s static typing ecosystem.
-
B.
typer
Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), the author of FastAPI.
-
C.
Python generic types
Python generic types are a type system feature that allows developers to write functions, classes, and data structures that operate on values of multiple types while preserving static type information.
-
D.
PEP 647 TypeGuard
PEP 647 TypeGuard is a Python typing feature that allows developers to define user-defined type guard functions, enabling more precise type narrowing and improved static type checking.
-
E.
PEP 613 TypeAlias annotation
PEP 613 TypeAlias annotation is a Python typing feature that introduces a dedicated `TypeAlias` marker to clearly distinguish type alias declarations from regular variable assignments.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Python standard library module
ⓘ
type hinting library ⓘ |
| backportedBy | typing_extensions NERFINISHED ⓘ |
| definedInPEP | PEP 484 NERFINISHED ⓘ |
| defines |
Any
ⓘ
Callable ⓘ ClassVar ⓘ Final ⓘ ForwardRef ⓘ Generic ⓘ Literal ⓘ NewType NERFINISHED ⓘ NoReturn ⓘ Optional ⓘ Protocol ⓘ TypeVar ⓘ TypedDict ⓘ Union NERFINISHED ⓘ get_type_hints ⓘ overload ⓘ runtime_checkable ⓘ |
| enables | static type checking ⓘ |
| extendedByPEP |
PEP 526
NERFINISHED
ⓘ
PEP 544 NERFINISHED ⓘ PEP 560 NERFINISHED ⓘ PEP 585 NERFINISHED ⓘ PEP 604 NERFINISHED ⓘ PEP 649 NERFINISHED ⓘ |
| improves |
code readability
ⓘ
tooling support ⓘ |
| introducedInVersion | Python 3.5 NERFINISHED ⓘ |
| language | Python NERFINISHED ⓘ |
| license | Python Software Foundation License NERFINISHED ⓘ |
| location | Lib/typing.py ⓘ |
| partOf | Python standard library NERFINISHED ⓘ |
| provides | type hints support ⓘ |
| relatedTo | typing_extensions NERFINISHED ⓘ |
| replacedBy | built-in generic types in Python 3.9+ ⓘ |
| supports |
forward references
ⓘ
generic types ⓘ nominal subtyping ⓘ parametric polymorphism ⓘ runtime introspection of annotations ⓘ static type checkers ⓘ structural subtyping ⓘ type aliases ⓘ |
| usedBy |
PyCharm type checker
ⓘ
mypy NERFINISHED ⓘ pylance NERFINISHED ⓘ pyright ⓘ |
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: Python typing module Description of subject: The Python typing module is a standard library component that adds support for type hints and static type checking to Python code, enabling clearer interfaces and improved tooling.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.