Datalore
E356935
Datalore is JetBrains’ collaborative data science and analytics platform that combines notebooks, computation, and team features for working with code and data in the cloud.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Datalore canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3425967 — 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: Datalore Context triple: [JetBrains, develops, Datalore]
-
A.
Databricks
Databricks is a cloud-based data and AI company best known for its unified analytics platform built around Apache Spark, enabling large-scale data engineering, data science, and machine learning workloads.
-
B.
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.
-
C.
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
D.
Business Intelligence Development Studio
Business Intelligence Development Studio was Microsoft's former integrated development environment for creating SQL Server business intelligence solutions, including SSIS, SSAS, and SSRS projects.
-
E.
Aqua Data Studio
Aqua Data Studio is a database management and development environment that provides tools for querying, visualizing, and administering a wide range of relational and NoSQL databases.
- 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: Datalore Target entity description: Datalore is JetBrains’ collaborative data science and analytics platform that combines notebooks, computation, and team features for working with code and data in the cloud.
-
A.
Databricks
Databricks is a cloud-based data and AI company best known for its unified analytics platform built around Apache Spark, enabling large-scale data engineering, data science, and machine learning workloads.
-
B.
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.
-
C.
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
D.
Business Intelligence Development Studio
Business Intelligence Development Studio was Microsoft's former integrated development environment for creating SQL Server business intelligence solutions, including SSIS, SSAS, and SSRS projects.
-
E.
Aqua Data Studio
Aqua Data Studio is a database management and development environment that provides tools for querying, visualizing, and administering a wide range of relational and NoSQL databases.
- F. None of above. chosen
Statements (57)
| Predicate | Object |
|---|---|
| instanceOf |
cloud-based analytics platform
ⓘ
collaborative data science platform ⓘ |
| deploymentModel | cloud service ⓘ |
| developer | JetBrains ⓘ |
| hasFeature |
GPU support
ⓘ
Jupyter-like notebook interface ⓘ Kotlin support ⓘ Python support ⓘ R support ⓘ REST API ⓘ SQL support ⓘ Scala support ⓘ cell-level collaboration ⓘ charting tools ⓘ cloud computation ⓘ collaborative notebooks ⓘ commenting on notebooks ⓘ data apps or reports sharing via links ⓘ data import from databases ⓘ data import from files ⓘ data visualization ⓘ environment management ⓘ git integration ⓘ inline output display ⓘ integrated code editor ⓘ integrations with JetBrains tools ⓘ interactive dashboards ⓘ notebook templates ⓘ organization workspaces ⓘ package management ⓘ permissions management ⓘ real-time collaboration ⓘ report publishing ⓘ resource usage monitoring ⓘ role-based access control ⓘ scheduled notebook runs ⓘ secrets management ⓘ smart code completion ⓘ table views for dataframes ⓘ team collaboration tools ⓘ team workspaces ⓘ variable explorer ⓘ versioning of notebooks ⓘ workspace folders ⓘ workspace sharing ⓘ |
| supportsLanguage |
Kotlin
ⓘ
Python ⓘ R ⓘ SQL ⓘ Scala ⓘ |
| targetUseCase |
data analysis
ⓘ
data exploration ⓘ machine learning experimentation ⓘ reporting and dashboards ⓘ |
| targetUser |
data analysts
ⓘ
data scientists ⓘ machine learning engineers ⓘ |
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: Datalore Description of subject: Datalore is JetBrains’ collaborative data science and analytics platform that combines notebooks, computation, and team features for working with code and data in the cloud.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.