typing
E431925
typing is a Python standard library module that provides support for type hints and static type checking through a rich set of type annotation primitives.
All labels observed (1)
| Label | Occurrences |
|---|---|
| typing canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4325200 — 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: typing Context triple: [Python standard library, includesModule, typing]
-
A.
YPED
YPED is the ICAO airport code for RAAF Base Edinburgh, a major Royal Australian Air Force base located near Adelaide, South Australia.
-
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.
Typer
Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), that emphasizes type hints and automatic documentation.
-
D.
Words
"Words" is a popular song by the Bee Gees, notable for its gentle melody and heartfelt lyrics that have made it a classic ballad.
-
E.
WPM
WPM is the abbreviation commonly used for the World Plenary Meeting, a global gathering focused on collective decision-making and discussion.
- 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: typing Target entity description: typing is a Python standard library module that provides support for type hints and static type checking through a rich set of type annotation primitives.
-
A.
YPED
YPED is the ICAO airport code for RAAF Base Edinburgh, a major Royal Australian Air Force base located near Adelaide, South Australia.
-
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.
Typer
Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), that emphasizes type hints and automatic documentation.
-
D.
Words
"Words" is a popular song by the Bee Gees, notable for its gentle melody and heartfelt lyrics that have made it a classic ballad.
-
E.
WPM
WPM is the abbreviation commonly used for the World Plenary Meeting, a global gathering focused on collective decision-making and discussion.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Python standard library module
ⓘ
software library ⓘ |
| backportedTo | typing module on PyPI ⓘ |
| definedIn | PEP 484 NERFINISHED ⓘ |
| defines |
Any type
ⓘ
Concatenate helper ⓘ Never type ⓘ NoReturn type ⓘ Self type ⓘ get_type_hints function ⓘ overload decorator ⓘ |
| documentationURL | https://docs.python.org/3/library/typing.html ⓘ |
| enables |
better IDE autocompletion
ⓘ
earlier error detection ⓘ improved code analysis ⓘ |
| introducedInVersion | Python 3.5 NERFINISHED ⓘ |
| partOf | Python standard library ⓘ |
| programmingLanguage | Python ⓘ |
| provides |
static type checking support
ⓘ
type hints support ⓘ |
| relatedPEP |
PEP 483
NERFINISHED
ⓘ
PEP 526 NERFINISHED ⓘ PEP 544 NERFINISHED ⓘ PEP 560 NERFINISHED ⓘ PEP 585 NERFINISHED ⓘ PEP 604 NERFINISHED ⓘ PEP 649 NERFINISHED ⓘ |
| supports |
Annotated types
ⓘ
Callable types ⓘ ClassVar qualifier ⓘ Final qualifier ⓘ ForwardRef for forward declarations ⓘ Literal types ⓘ NewType ⓘ Optional types ⓘ ParamSpec ⓘ TypeVar ⓘ TypeVarTuple ⓘ TypedDict NERFINISHED ⓘ Union types ⓘ generic types ⓘ protocols ⓘ runtime-checkable protocols ⓘ type aliases ⓘ type annotations ⓘ |
| usedBy |
PyCharm type checker
ⓘ
mypy NERFINISHED ⓘ pyright ⓘ static type checkers ⓘ |
| usedFor | gradual typing in 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: typing Description of subject: typing is a Python standard library module that provides support for type hints and static type checking through a rich set of type annotation primitives.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.