Kusto Query Language
E828323
Kusto Query Language is a powerful, read-only query language designed by Microsoft for interactive analytics over large volumes of structured, semi-structured, and time-series data in Azure services.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kusto Query Language canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9899399 — 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: Kusto Query Language Context triple: [Azure Monitor, supportsLanguage, Kusto Query Language]
-
A.
KSQL
KSQL is the ICAO airport code for San Carlos Airport, a general aviation facility serving the San Francisco Bay Area in California.
-
B.
Azure Purview
Azure Purview is a unified data governance and catalog service from Microsoft that helps organizations discover, classify, and manage data across on-premises, multi-cloud, and SaaS sources.
-
C.
Azure Stream Analytics
Azure Stream Analytics is a real-time analytics and complex event processing service in Microsoft Azure that ingests and analyzes streaming data from various sources to generate timely insights and actions.
-
D.
Azure Synapse Analytics
Azure Synapse Analytics is a cloud-based analytics service from Microsoft that unifies big data and data warehousing to enable large-scale data integration, exploration, and business intelligence.
-
E.
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.
- 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: Kusto Query Language Target entity description: Kusto Query Language is a powerful, read-only query language designed by Microsoft for interactive analytics over large volumes of structured, semi-structured, and time-series data in Azure services.
-
A.
KSQL
KSQL is the ICAO airport code for San Carlos Airport, a general aviation facility serving the San Francisco Bay Area in California.
-
B.
Azure Purview
Azure Purview is a unified data governance and catalog service from Microsoft that helps organizations discover, classify, and manage data across on-premises, multi-cloud, and SaaS sources.
-
C.
Azure Stream Analytics
Azure Stream Analytics is a real-time analytics and complex event processing service in Microsoft Azure that ingests and analyzes streaming data from various sources to generate timely insights and actions.
-
D.
Azure Synapse Analytics
Azure Synapse Analytics is a cloud-based analytics service from Microsoft that unifies big data and data warehousing to enable large-scale data integration, exploration, and business intelligence.
-
E.
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.
- F. None of above. chosen
Statements (53)
| Predicate | Object |
|---|---|
| instanceOf |
data analysis language
ⓘ
query language ⓘ |
| abbreviation | KQL NERFINISHED ⓘ |
| dataModelSupport |
semi-structured data
ⓘ
structured data ⓘ time-series data ⓘ |
| designGoal |
high-performance analytics over large data volumes
ⓘ
interactive exploration ⓘ read-only querying ⓘ |
| developer | Microsoft ⓘ |
| documentationURL | https://learn.microsoft.com/azure/data-explorer/kusto/query ⓘ |
| executionModel | distributed ⓘ |
| firstPartyPlatform | Microsoft Azure GENERATED ⓘ |
| inspiredBy |
PowerShell pipeline syntax
ⓘ
SQL NERFINISHED ⓘ |
| primaryUse |
interactive analytics
ⓘ
log analytics ⓘ time-series analysis ⓘ |
| property |
read-only
ⓘ
schema-on-read ⓘ |
| supports |
JSON parsing
ⓘ
aggregation ⓘ anomaly detection functions ⓘ cross-cluster queries ⓘ dynamic data type ⓘ filtering ⓘ geospatial functions ⓘ joins ⓘ joins across tables ⓘ let statements ⓘ materialized views integration ⓘ pattern matching ⓘ projection ⓘ regular expressions ⓘ string operations ⓘ subqueries ⓘ time-series operators ⓘ user-defined functions ⓘ window functions ⓘ |
| syntaxStyle | pipe-based ⓘ |
| typicalDataSource |
application logs
GENERATED
ⓘ
infrastructure logs GENERATED ⓘ security events GENERATED ⓘ telemetry data GENERATED ⓘ |
| usedIn |
Application Insights
NERFINISHED
ⓘ
Azure Data Explorer NERFINISHED ⓘ Azure Log Analytics NERFINISHED ⓘ Azure Monitor Logs NERFINISHED ⓘ Azure Monitor Metrics (via logs and queries) NERFINISHED ⓘ Azure Resource Graph NERFINISHED ⓘ Microsoft 365 Defender NERFINISHED ⓘ Microsoft Defender for Cloud Apps NERFINISHED ⓘ Microsoft Sentinel NERFINISHED ⓘ |
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: Kusto Query Language Description of subject: Kusto Query Language is a powerful, read-only query language designed by Microsoft for interactive analytics over large volumes of structured, semi-structured, and time-series data in Azure services.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.