Amazon QuickSight
E97125
Amazon QuickSight is a cloud-based business intelligence and data visualization service from AWS that enables users to create interactive dashboards and insights from various data sources.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Amazon QuickSight canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T817090 — 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: Amazon QuickSight Context triple: [Amazon Redshift, integratesWith, Amazon QuickSight]
-
A.
Power BI
Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
-
B.
Data Studio
Data Studio is Google's free data visualization and business intelligence tool that lets users create interactive, shareable reports and dashboards from multiple data sources.
-
C.
Tableau
Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
-
D.
Amazon Redshift
Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
-
E.
Power View
Power View is an interactive data visualization and reporting tool from Microsoft that enables users to create dynamic, presentation-ready dashboards and reports.
- 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: Amazon QuickSight Target entity description: Amazon QuickSight is a cloud-based business intelligence and data visualization service from AWS that enables users to create interactive dashboards and insights from various data sources.
-
A.
Power BI
Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
-
B.
Data Studio
Data Studio is Google's free data visualization and business intelligence tool that lets users create interactive, shareable reports and dashboards from multiple data sources.
-
C.
Tableau
Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
-
D.
Amazon Redshift
Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
-
E.
Power View
Power View is an interactive data visualization and reporting tool from Microsoft that enables users to create dynamic, presentation-ready dashboards and reports.
- F. None of above. chosen
Statements (69)
| Predicate | Object |
|---|---|
| instanceOf |
business intelligence service
ⓘ
data visualization tool ⓘ software as a service ⓘ |
| accessMethod |
APIs
ⓘ
SDKs ⓘ web browser ⓘ |
| deploymentModel | cloud-based ⓘ |
| developer | Amazon Web Services ⓘ |
| integratesWith |
AWS Glue
ⓘ
surface form:
AWS Glue Data Catalog
AWS IoT Analytics ⓘ Amazon Athena ⓘ Amazon Aurora ⓘ Amazon RDS ⓘ Amazon Redshift ⓘ Amazon S3 ⓘ SQL Server ⓘ
surface form:
Microsoft SQL Server
MySQL ⓘ PostgreSQL ⓘ Presto ⓘ Salesforce ⓘ Snowflake ⓘ Teradata ⓘ VPC data sources ⓘ on-premises data sources ⓘ |
| ownedBy |
Amazon
ⓘ
surface form:
Amazon.com, Inc.
|
| partOf | AWS analytics services portfolio ⓘ |
| pricingModel |
pay-per-session
ⓘ
per-user subscription ⓘ |
| providedBy | Amazon Web Services ⓘ |
| runsOn |
Amazon Web Services
ⓘ
surface form:
AWS Cloud
|
| securityFeature |
AWS Identity and Access Management integration
ⓘ
VPC connectivity ⓘ encryption at rest ⓘ encryption in transit ⓘ |
| serviceModel | fully managed ⓘ |
| supportsFeature |
SPICE in-memory engine
ⓘ
ad hoc analysis ⓘ calculated fields ⓘ custom SQL queries ⓘ custom themes ⓘ data alerts ⓘ data storytelling ⓘ data visualization ⓘ drill-down analysis ⓘ drill-through analysis ⓘ email reports ⓘ embedded analytics ⓘ export to CSV ⓘ export to PDF ⓘ filters and controls ⓘ fine-grained access control ⓘ interactive dashboards ⓘ machine learning insights ⓘ multi-Region support ⓘ multi-tenant dashboards ⓘ multi-tenant embedding ⓘ natural language queries ⓘ parameterized dashboards ⓘ row-level security ⓘ scheduled reports ⓘ |
| supportsUserType |
administrators
ⓘ
authors ⓘ readers ⓘ |
| useCase |
business intelligence
ⓘ
embedded dashboards in applications ⓘ executive dashboards ⓘ operational reporting ⓘ self-service analytics ⓘ |
| usesEngine | SPICE ⓘ |
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: Amazon QuickSight Description of subject: Amazon QuickSight is a cloud-based business intelligence and data visualization service from AWS that enables users to create interactive dashboards and insights from various data sources.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.