Docutils project
E888273
The Docutils project is an open-source text processing system for converting lightweight markup documents, especially those written in reStructuredText, into formats such as HTML, LaTeX, and XML.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Docutils project canonical | 2 |
| docutils.core | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10825806 — 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: Docutils project Context triple: [reStructuredText, originProject, Docutils project]
-
A.
Read the Docs
Read the Docs is an open-source documentation hosting platform that automatically builds, version-manages, and serves technical docs for software projects.
-
B.
reStructuredText
reStructuredText is a lightweight, plaintext markup language commonly used in the Python ecosystem for documentation, including PEPs and Sphinx-based docs.
-
C.
DocBook
DocBook is a semantic markup language, originally based on SGML and now commonly used in XML form, designed for authoring and publishing technical documentation and books in a platform-independent way.
-
D.
DITA Open Toolkit
DITA Open Toolkit is an open-source publishing engine that transforms DITA content into various output formats such as HTML, PDF, and EPUB.
-
E.
MkDocs
MkDocs is a static site generator geared toward building project documentation from Markdown files, typically configured with a simple YAML file and extensible through themes and plugins.
- 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: Docutils project Target entity description: The Docutils project is an open-source text processing system for converting lightweight markup documents, especially those written in reStructuredText, into formats such as HTML, LaTeX, and XML.
-
A.
Read the Docs
Read the Docs is an open-source documentation hosting platform that automatically builds, version-manages, and serves technical docs for software projects.
-
B.
reStructuredText
reStructuredText is a lightweight, plaintext markup language commonly used in the Python ecosystem for documentation, including PEPs and Sphinx-based docs.
-
C.
DocBook
DocBook is a semantic markup language, originally based on SGML and now commonly used in XML form, designed for authoring and publishing technical documentation and books in a platform-independent way.
-
D.
DITA Open Toolkit
DITA Open Toolkit is an open-source publishing engine that transforms DITA content into various output formats such as HTML, PDF, and EPUB.
-
E.
MkDocs
MkDocs is a static site generator geared toward building project documentation from Markdown files, typically configured with a simple YAML file and extensible through themes and plugins.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
Python library
ⓘ
documentation tool ⓘ open-source text processing system ⓘ software library ⓘ |
| category |
documentation generator
ⓘ
lightweight markup processor ⓘ |
| hasComponent |
docutils.core
ⓘ
linked to:
Docutils project
docutils.parsers ⓘ
linked to:
Docutils
docutils.readers ⓘ docutils.transforms ⓘ
linked to:
Docutils
docutils.writers ⓘ
linked to:
Docutils
|
| influenced |
Python documentation ecosystem
ⓘ
Sphinx documentation generator ⓘ
linked to:
Sphinx documentation
|
| isFreeSoftware | true ⓘ |
| isOpenSource | true ⓘ |
| license |
BSD-like license
ⓘ
public domain-like license ⓘ |
| name | Docutils project ⓘ |
| primaryInputFormat | reStructuredText ⓘ |
| programmingLanguage | Python ⓘ |
| provides |
Python API for document processing
ⓘ
command-line tools for document conversion ⓘ |
| repositoryHostingService | GitHub ⓘ |
| supportsExtensionMechanism |
custom directives
ⓘ
custom readers ⓘ custom roles ⓘ custom transforms ⓘ custom writers ⓘ |
| supportsInputFormat | plaintext ⓘ |
| supportsMarkupLanguage | reStructuredText ⓘ |
| supportsOutputFormat |
HTML
ⓘ
LaTeX ⓘ ODF ⓘ Pseudoxml ⓘ S5 ⓘ XML ⓘ man page ⓘ |
| supportsStandard | PEP 287 (reStructuredText Docstring Format) ⓘ |
| targetUser |
developers
ⓘ
publishers ⓘ technical writers ⓘ |
| useCase |
publishing workflows
ⓘ
software project documentation ⓘ technical documentation generation ⓘ |
| usedBy | Python standard library documentation toolchain ⓘ |
| usesMarkupModel | document tree ⓘ |
| website | https://docutils.sourceforge.io/ ⓘ |
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: Docutils project Description of subject: The Docutils project is an open-source text processing system for converting lightweight markup documents, especially those written in reStructuredText, into formats such as HTML, LaTeX, and XML.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.