AWS CloudTrail
E293758
AWS CloudTrail is a logging and auditing service that records and monitors API calls and account activity across AWS resources for security, compliance, and operational troubleshooting.
All labels observed (5)
| Label | Occurrences |
|---|---|
| AWS CloudTrail canonical | 22 |
| CloudTrail Lake | 2 |
| AWS CloudTrail Lake | 1 |
| CloudTrail | 1 |
| CloudTrail Insights | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2714027 — 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: AWS CloudTrail Context triple: [Amazon Web Services, offersService, AWS CloudTrail]
-
A.
Amazon CloudWatch
Amazon CloudWatch is a monitoring and observability service that collects and analyzes logs, metrics, and events from AWS resources and applications to help track performance and operational health.
-
B.
Aws
Aws was one of the major Arab tribes of Medina that played a pivotal role in supporting Prophet Muhammad and the early Muslim community after the Hijrah.
-
C.
AWS
AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
-
D.
Cloud Logging
Cloud Logging is Google Cloud’s fully managed service for collecting, storing, and analyzing logs from applications and infrastructure running in the cloud and on-premises.
-
E.
Amazon Web Services
Amazon Web Services is a leading global cloud computing platform offering on-demand infrastructure, storage, and application services to businesses, developers, and institutions.
- 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: AWS CloudTrail Target entity description: AWS CloudTrail is a logging and auditing service that records and monitors API calls and account activity across AWS resources for security, compliance, and operational troubleshooting.
-
A.
Amazon CloudWatch
Amazon CloudWatch is a monitoring and observability service that collects and analyzes logs, metrics, and events from AWS resources and applications to help track performance and operational health.
-
B.
Aws
Aws was one of the major Arab tribes of Medina that played a pivotal role in supporting Prophet Muhammad and the early Muslim community after the Hijrah.
-
C.
AWS
AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
-
D.
Cloud Logging
Cloud Logging is Google Cloud’s fully managed service for collecting, storing, and analyzing logs from applications and infrastructure running in the cloud and on-premises.
-
E.
Amazon Web Services
Amazon Web Services is a leading global cloud computing platform offering on-demand infrastructure, storage, and application services to businesses, developers, and institutions.
- F. None of above. chosen
Statements (75)
| Predicate | Object |
|---|---|
| instanceOf |
AWS service
ⓘ
audit logging service ⓘ cloud service ⓘ |
| configurationModel |
per-account configuration
ⓘ
per-organization configuration ⓘ |
| developedBy | Amazon Web Services ⓘ |
| hasComponent |
AWS CloudTrail
self-linksurface differs
ⓘ
surface form:
CloudTrail Insights
AWS CloudTrail self-linksurface differs ⓘ
surface form:
CloudTrail Lake
event history ⓘ trails ⓘ |
| hasPurpose |
compliance support
ⓘ
governance ⓘ operational troubleshooting ⓘ security auditing ⓘ |
| integratesWith |
AWS CloudTrail
self-linksurface differs
ⓘ
surface form:
AWS CloudTrail Lake
AWS Config ⓘ AWS Identity and Access Management ⓘ AWS Organizations ⓘ AWS Security Hub ⓘ Amazon Athena ⓘ Amazon CloudWatch ⓘ
surface form:
Amazon CloudWatch Events
Amazon CloudWatch ⓘ
surface form:
Amazon CloudWatch Logs
Amazon EventBridge ⓘ Amazon S3 ⓘ |
| logFormat | JSON ⓘ |
| monitors |
AWS API calls
ⓘ
AWS account activity ⓘ data events ⓘ management events ⓘ read events ⓘ write events ⓘ |
| offers | free event history for recent management events ⓘ |
| partOf |
Amazon Web Services
ⓘ
surface form:
Amazon Web Services cloud platform
|
| providedBy | Amazon Web Services ⓘ |
| records |
API call history
ⓘ
AWS CLI calls ⓘ AWS Management Console sign-in events ⓘ AWS SDK calls ⓘ AWS service-to-service calls ⓘ role activity ⓘ service activity ⓘ user activity ⓘ |
| regionScope | regional service ⓘ |
| securityFeature |
access control via IAM policies
ⓘ
tamper-evident logs via integrity validation ⓘ |
| storesLogsIn | Amazon S3 ⓘ |
| supportsComplianceStandard |
HIPAA evidence collection
ⓘ
ISO evidence collection ⓘ PCI DSS evidence collection ⓘ SOC evidence collection ⓘ |
| supportsFeature |
API activity search
ⓘ
AWS CloudTrail self-linksurface differs ⓘ
surface form:
CloudTrail Lake
advanced event selectors ⓘ data event logging ⓘ encryption at rest ⓘ encryption with AWS KMS ⓘ event history ⓘ event selectors ⓘ insights events ⓘ log file integrity validation ⓘ long-term event storage ⓘ management event logging ⓘ multi-region trails ⓘ organization trails ⓘ organization-level logging ⓘ single-region trails ⓘ |
| supportsResourceType |
AWS Lambda
ⓘ
surface form:
AWS Lambda functions
Amazon DynamoDB tables ⓘ Amazon S3 buckets ⓘ many AWS resource types ⓘ |
| usedFor |
change tracking
ⓘ
forensic analysis ⓘ incident response ⓘ regulatory compliance evidence ⓘ user behavior analysis ⓘ |
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: AWS CloudTrail Description of subject: AWS CloudTrail is a logging and auditing service that records and monitors API calls and account activity across AWS resources for security, compliance, and operational troubleshooting.
Referenced by (27)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
AWS CloudTrail Lake
this entity surface form:
CloudTrail Lake
this entity surface form:
CloudTrail Lake
this entity surface form:
CloudTrail Insights
this entity surface form:
CloudTrail