PEPs
E51003
PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
All labels observed (11)
| Label | Occurrences |
|---|---|
| Informational PEP | 2 |
| Informational PEPs | 2 |
| Deferred PEPs | 1 |
| Implementation PEP | 1 |
| Library PEP | 1 |
| Meta-PEPs | 1 |
| PEP 8016 | 1 |
| PEP editors | 1 |
| PEP index | 1 |
| PEP titles | 1 |
| PEPs canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T400399 — 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: PEPs Context triple: [Python Enhancement Proposals, abbreviation, PEPs]
-
A.
Pep
Pep is the widely used nickname of Josep "Pep" Guardiola, the renowned Spanish football manager and former player.
-
B.
PE
PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
-
C.
BEP
BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
-
D.
EOP
EOP is the collective group of offices and agencies that directly support the President of the United States in carrying out executive responsibilities and policy initiatives.
-
E.
PEG
PEG is the stock ticker symbol for Public Service Enterprise Group, a major U.S. energy company primarily involved in regulated electric and gas utility operations and power generation.
- 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: PEPs Target entity description: PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
-
A.
Pep
Pep is the widely used nickname of Josep "Pep" Guardiola, the renowned Spanish football manager and former player.
-
B.
PE
PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
-
C.
BEP
BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
-
D.
EOP
EOP is the collective group of offices and agencies that directly support the President of the United States in carrying out executive responsibilities and policy initiatives.
-
E.
PEG
PEG is the stock ticker symbol for Public Service Enterprise Group, a major U.S. energy company primarily involved in regulated electric and gas utility operations and power generation.
- F. None of above. chosen
Statements (71)
| Predicate | Object |
|---|---|
| instanceOf |
Python community governance document
ⓘ
software development process document ⓘ |
| accessURL | https://peps.python.org/ ⓘ |
| coinedBy | Barry Warsaw ⓘ |
| communityProcess |
discussion on Python Discourse
ⓘ
open discussion on python-dev mailing list ⓘ |
| decisionMaker |
Benevolent Dictator For Life (historical)
ⓘ
Python Steering Council ⓘ |
| documentedIn | PEP 1 – PEP Purpose and Guidelines ⓘ |
| domain | Python community ⓘ |
| editorRole |
to assign PEP numbers
ⓘ
to change PEP status according to decisions ⓘ to review PEPs for style and completeness ⓘ |
| format | reStructuredText ⓘ |
| fullName |
Python Enhancement Proposal
ⓘ
linked to:
Python Enhancement Proposals
|
| governedBy | PEP 1 ⓘ |
| governs |
Python development processes
ⓘ
Python language evolution ⓘ some aspects of Python community governance ⓘ |
| hasSection |
Abstract
ⓘ
Backwards Compatibility ⓘ Copyright ⓘ Motivation ⓘ Rationale ⓘ Reference Implementation ⓘ Specification ⓘ |
| hasType |
Informational PEP
ⓘ
linked to:
PEPs
Process PEP ⓘ Standards Track PEP ⓘ
linked to:
Standards Track
|
| hostedBy | Python Software Foundation infrastructure ⓘ |
| hostedOn | GitHub ⓘ |
| inspiredBy |
IETF RFC process
ⓘ
Java Community Process (JCP) ⓘ
linked to:
Java Community Process
|
| introducedBy | Barry Warsaw ⓘ |
| languageOfProject | Python ⓘ |
| license | Open publication license compatible with PSF policies ⓘ |
| maintainedBy |
PEP editors
ⓘ
Python Steering Council ⓘ Python core developers ⓘ |
| purpose |
to collect community input on an issue
ⓘ
to describe implementation details of Python features ⓘ to document design decisions for Python ⓘ to document the design rationale behind a feature ⓘ to propose new features for the Python programming language ⓘ to propose process changes for the Python community ⓘ to serve as a primary mechanism for proposing major new features ⓘ |
| relatedConcept |
Request for Comments (RFC)
ⓘ
linked to:
RFCs
language design proposal ⓘ |
| repository | Python/peps Git repository ⓘ |
| reviewStage |
community review
ⓘ
steering council review ⓘ |
| scope |
Python governance structure
ⓘ
Python release process ⓘ interpreter behavior changes ⓘ language syntax changes ⓘ packaging standards ⓘ standard library additions or removals ⓘ |
| statusValue |
Accepted
ⓘ
Active ⓘ April Fools ⓘ Deferred ⓘ Draft ⓘ Final ⓘ Provisional ⓘ Rejected ⓘ Superseded ⓘ Withdrawn ⓘ |
| typicalAudience |
Python core developers
ⓘ
Python library authors ⓘ Python users interested in language evolution ⓘ |
| usedBy |
Python programming language
ⓘ
linked to:
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: PEPs Description of subject: PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
Referenced by (13)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: PEPs
linked to: PEPs
linked to: PEPs
linked to: PEPs
linked to: PEPs
linked to: PEPs
linked to: PEPs
linked to: PEPs
linked to: PEPs
linked to: PEPs