AWS Lambda
E293752
AWS Lambda is a serverless compute service that lets developers run code in response to events without provisioning or managing servers.
All labels observed (5)
| Label | Occurrences |
|---|---|
| AWS Lambda canonical | 32 |
| AWS Lambda functions | 2 |
| Lambda@Edge | 2 |
| AWS Lambda (for edge computing) | 1 |
| Amazon Lambda | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2714014 — 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 Lambda Context triple: [Amazon Web Services, offersService, AWS Lambda]
-
A.
Cloud Functions
Cloud Functions is Google Cloud’s serverless compute platform for running event-driven code without managing servers.
-
B.
Azure Functions
Azure Functions is a serverless compute service that lets developers run event-driven code on demand in the cloud without managing infrastructure.
-
C.
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.
-
D.
Lambda platform
The Lambda platform is General Motors' unibody architecture used for its large crossover SUVs and minivans, underpinning models like the Chevrolet Traverse, GMC Acadia, and Buick Enclave.
-
E.
Cloud Run
Cloud Run is a fully managed serverless compute platform from Google Cloud that runs containerized applications and APIs that scale automatically on demand.
- 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 Lambda Target entity description: AWS Lambda is a serverless compute service that lets developers run code in response to events without provisioning or managing servers.
-
A.
Cloud Functions
Cloud Functions is Google Cloud’s serverless compute platform for running event-driven code without managing servers.
-
B.
Azure Functions
Azure Functions is a serverless compute service that lets developers run event-driven code on demand in the cloud without managing infrastructure.
-
C.
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.
-
D.
Lambda platform
The Lambda platform is General Motors' unibody architecture used for its large crossover SUVs and minivans, underpinning models like the Chevrolet Traverse, GMC Acadia, and Buick Enclave.
-
E.
Cloud Run
Cloud Run is a fully managed serverless compute platform from Google Cloud that runs containerized applications and APIs that scale automatically on demand.
- F. None of above. chosen
Statements (84)
| Predicate | Object |
|---|---|
| instanceOf |
cloud computing service
ⓘ
serverless computing service ⓘ |
| announcedAt | AWS re:Invent 2014 ⓘ |
| billedIncrements |
1 millisecond (for new pricing model)
ⓘ
1 millisecond (with provisioned concurrency) ⓘ |
| developer | Amazon Web Services ⓘ |
| documentation | https://docs.aws.amazon.com/lambda/ ⓘ |
| eliminatesNeedFor |
server management
ⓘ
server provisioning ⓘ |
| integratesWith |
AWS Identity and Access Management
ⓘ
AWS Step Functions ⓘ AWS X-Ray ⓘ Amazon CloudWatch ⓘ |
| launchDate | 2014-11-13 ⓘ |
| maximumExecutionTimeout | 900 seconds ⓘ |
| maximumMemory | 10240 MB ⓘ |
| minimumMemory | 128 MB ⓘ |
| ownedBy |
Amazon
ⓘ
surface form:
Amazon.com, Inc.
|
| partOf |
Amazon Web Services
ⓘ
surface form:
AWS compute services
Amazon Web Services ⓘ |
| pricingModel | pay-per-use ⓘ |
| pricingUnit |
compute duration
ⓘ
number of requests ⓘ |
| supportsDeployment |
container image up to 10 GB
ⓘ
zip archive ⓘ |
| supportsFeature |
ARM-based Graviton2 architecture
ⓘ
AWS CDK integration ⓘ AWS CloudFormation integration ⓘ AWS SAM integration ⓘ Lambda layers ⓘ AWS Lambda self-linksurface differs ⓘ
surface form:
Lambda@Edge
VPC integration ⓘ aliases ⓘ asynchronous invocation ⓘ container image support ⓘ dead-letter queues ⓘ environment variables ⓘ event source mappings ⓘ function URLs ⓘ function versioning ⓘ provisioned concurrency ⓘ provisioned concurrency autoscaling ⓘ reserved concurrency ⓘ snapStart (for Java) ⓘ synchronous invocation ⓘ x86_64 architecture ⓘ |
| supportsLanguage |
.NET Core
ⓘ
C# programming language ⓘ
surface form:
C#
Go ⓘ Java ⓘ Node.js ⓘ PowerShell ⓘ Python ⓘ Ruby ⓘ custom runtime ⓘ |
| supportsRuntime | AWS Lambda Runtime API ⓘ |
| supportsTrigger |
AWS CloudFormation custom resources
ⓘ
AWS CodeCommit ⓘ AWS Cognito ⓘ AWS Config ⓘ AWS IoT Core ⓘ AWS Step Functions ⓘ Amazon API Gateway ⓘ Amazon CloudWatch ⓘ
surface form:
Amazon CloudWatch Events
Amazon CloudWatch ⓘ
surface form:
Amazon CloudWatch Logs
DynamoDB Streams ⓘ
surface form:
Amazon DynamoDB Streams
Amazon EventBridge ⓘ Amazon Kinesis ⓘ Amazon MQ ⓘ Amazon MSK ⓘ Amazon S3 ⓘ Amazon SNS ⓘ Amazon SQS ⓘ AWS Elastic Load Balancing ⓘ
surface form:
Application Load Balancer
direct invocation via AWS SDK ⓘ self-managed Apache Kafka ⓘ |
| useCase |
IoT data processing
ⓘ
automation and orchestration ⓘ backend for web and mobile applications ⓘ data processing ⓘ event-driven applications ⓘ real-time file processing ⓘ real-time stream processing ⓘ |
| website | https://aws.amazon.com/lambda/ ⓘ |
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 Lambda Description of subject: AWS Lambda is a serverless compute service that lets developers run code in response to events without provisioning or managing servers.
Referenced by (38)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Amazon Lambda
this entity surface form:
Lambda@Edge
this entity surface form:
Lambda@Edge
this entity surface form:
AWS Lambda functions
this entity surface form:
AWS Lambda functions
this entity surface form:
AWS Lambda (for edge computing)