Docutils
E888272
Docutils is an open-source text processing system for converting reStructuredText documents into formats such as HTML, LaTeX, and XML.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Docutils canonical | 4 |
| docutils.parsers | 1 |
| docutils.transforms | 1 |
| docutils.writers | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10825787 — 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 Context triple: [reStructuredText, hasImplementation, Docutils]
-
A.
reStructuredText
reStructuredText is a lightweight, plaintext markup language commonly used in the Python ecosystem for documentation, including PEPs and Sphinx-based docs.
-
B.
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.
-
C.
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.
-
D.
Pandoc
Pandoc is a powerful open-source document converter that can transform files between numerous markup and word-processing formats, widely used for working with Markdown and other text formats.
-
E.
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.
- 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 Target entity description: Docutils is an open-source text processing system for converting reStructuredText documents into formats such as HTML, LaTeX, and XML.
-
A.
reStructuredText
reStructuredText is a lightweight, plaintext markup language commonly used in the Python ecosystem for documentation, including PEPs and Sphinx-based docs.
-
B.
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.
-
C.
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.
-
D.
Pandoc
Pandoc is a powerful open-source document converter that can transform files between numerous markup and word-processing formats, widely used for working with Markdown and other text formats.
-
E.
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.
- F. None of above. chosen
Statements (36)
| Predicate | Object |
|---|---|
| instanceOf |
software library
ⓘ
text processing system ⓘ |
| category |
document processing software
ⓘ
markup converter ⓘ |
| convertsToFormat |
HTML
ⓘ
LaTeX ⓘ Pseudoxml ⓘ XML ⓘ plain text ⓘ |
| developmentStatus | mature ⓘ |
| feature |
document tree representation
ⓘ
extensible reader components ⓘ extensible writer components ⓘ transformations pipeline ⓘ |
| homepage | https://docutils.sourceforge.io/ ⓘ |
| implements | reStructuredText parser ⓘ |
| license |
BSD-like license
ⓘ
public domain ⓘ |
| name | Docutils ⓘ |
| platform | cross-platform ⓘ |
| programmingLanguage | Python ⓘ |
| provides |
Python API
ⓘ
command-line tools ⓘ |
| relatedTo |
Python documentation ecosystem
ⓘ
Sphinx documentation generator ⓘ
linked to:
Sphinx documentation
|
| repository | https://sourceforge.net/projects/docutils/ ⓘ |
| supports |
directives
ⓘ
inline markup ⓘ roles ⓘ section structure ⓘ tables ⓘ |
| supportsMarkupLanguage | reStructuredText ⓘ |
| targetUser |
developers
ⓘ
technical writers ⓘ |
| usedBy |
Python documentation toolchain
ⓘ
Sphinx ⓘ |
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 Description of subject: Docutils is an open-source text processing system for converting reStructuredText documents into formats such as HTML, LaTeX, and XML.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Docutils project
linked to: Docutils
subject linked to:
Docutils project
linked to: Docutils
subject linked to:
Docutils project
linked to: Docutils