JupyterLab
E103854
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
All labels observed (1)
| Label | Occurrences |
|---|---|
| JupyterLab canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T816627 — 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: JupyterLab Context triple: [Matplotlib, supportsEnvironment, JupyterLab]
-
A.
Jupyter Notebook
Jupyter Notebook is an open-source web-based interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text.
-
B.
Visual Studio Code
Visual Studio Code is a popular, lightweight, cross-platform source-code editor from Microsoft that supports extensive extensions and debugging features for many programming languages.
-
C.
RStudio
RStudio is an integrated development environment (IDE) for the R programming language, widely used for data analysis, visualization, and statistical computing.
-
D.
thebe
The thebe is the fractional monetary unit of Botswana, representing one-hundredth of a Botswana pula.
-
E.
Julia
Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
- 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: JupyterLab Target entity description: JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
A.
Jupyter Notebook
Jupyter Notebook is an open-source web-based interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text.
-
B.
Visual Studio Code
Visual Studio Code is a popular, lightweight, cross-platform source-code editor from Microsoft that supports extensive extensions and debugging features for many programming languages.
-
C.
RStudio
RStudio is an integrated development environment (IDE) for the R programming language, widely used for data analysis, visualization, and statistical computing.
-
D.
thebe
The thebe is the fractional monetary unit of Botswana, representing one-hundredth of a Botswana pula.
-
E.
Julia
Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Jupyter ecosystem project
ⓘ
open-source software ⓘ web-based interactive development environment ⓘ |
| compatibleWith |
Jupyter Notebook
ⓘ
surface form:
Jupyter Notebook format (.ipynb)
|
| developer | Project Jupyter ⓘ |
| hasFeature |
cell execution controls
ⓘ
code completion ⓘ command-line interface (jupyter lab) ⓘ contextual help ⓘ extension manager ⓘ file system browser ⓘ integrated terminal ⓘ kernel management ⓘ multiple document layout ⓘ notebook checkpointing ⓘ syntax highlighting ⓘ tabbed interface ⓘ |
| license |
BSD license
ⓘ
surface form:
BSD 3-Clause License
|
| partOf | Project Jupyter ⓘ |
| platform | web ⓘ |
| programmingLanguage |
JavaScript
ⓘ
Python ⓘ TypeScript programming language ⓘ
surface form:
TypeScript
|
| replaces | classic Jupyter Notebook interface ⓘ |
| repository | https://github.com/jupyterlab/jupyterlab ⓘ |
| runsOn | Jupyter Server ⓘ |
| supports |
Git integration via extensions
ⓘ
Jupyter Notebook ⓘ
surface form:
Jupyter notebooks
code consoles ⓘ command palette ⓘ data visualization ⓘ debugger integration ⓘ drag-and-drop layout ⓘ extensions ⓘ file browser ⓘ file uploads and downloads ⓘ interactive widgets ⓘ multiple programming languages via kernels ⓘ notebook markdown rendering ⓘ real-time collaboration ⓘ running notebooks on remote kernels ⓘ terminal-based workflows ⓘ terminals ⓘ text editors ⓘ |
| useCase |
data science
ⓘ
education and teaching ⓘ interactive data exploration ⓘ machine learning experimentation ⓘ scientific computing ⓘ |
| website | https://jupyterlab.readthedocs.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: JupyterLab Description of subject: JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.