Cloud Run
E184211
Cloud Run is a fully managed serverless compute platform from Google Cloud that runs containerized applications and APIs that scale automatically on demand.
All labels observed (6)
| Label | Occurrences |
|---|---|
| Cloud Run canonical | 11 |
| Cloud Run for Anthos | 4 |
| Cloud Run services | 2 |
| Google Cloud Run | 2 |
| Cloud Run (fully managed) | 1 |
| Cloud Run jobs | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1634149 — 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: Cloud Run Context triple: [Google Cloud, hasComponent, Cloud Run]
-
A.
Azure Kubernetes Service
Azure Kubernetes Service is a managed container orchestration platform that simplifies deploying, scaling, and operating Kubernetes clusters in the Microsoft Azure cloud.
-
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.
Kubernetes
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of machines.
-
D.
Azure App Service
Azure App Service is a fully managed platform-as-a-service (PaaS) offering from Microsoft Azure for building, deploying, and scaling web apps and APIs.
-
E.
cloud.gov platform
cloud.gov platform is a U.S. government-managed cloud hosting and deployment service designed to help federal agencies build, run, and maintain compliant web applications and digital services.
- 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: Cloud Run Target entity description: Cloud Run is a fully managed serverless compute platform from Google Cloud that runs containerized applications and APIs that scale automatically on demand.
-
A.
Azure Kubernetes Service
Azure Kubernetes Service is a managed container orchestration platform that simplifies deploying, scaling, and operating Kubernetes clusters in the Microsoft Azure cloud.
-
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.
Kubernetes
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of machines.
-
D.
Azure App Service
Azure App Service is a fully managed platform-as-a-service (PaaS) offering from Microsoft Azure for building, deploying, and scaling web apps and APIs.
-
E.
cloud.gov platform
cloud.gov platform is a U.S. government-managed cloud hosting and deployment service designed to help federal agencies build, run, and maintain compliant web applications and digital services.
- F. None of above. chosen
Statements (95)
| Predicate | Object |
|---|---|
| instanceOf |
Google Cloud service
ⓘ
serverless compute platform ⓘ |
| abstractionLevel | fully managed ⓘ |
| autoscalingType | request-driven autoscaling ⓘ |
| computingModel | serverless ⓘ |
| configurationInterface |
Google Cloud Console
ⓘ
REST API ⓘ Terraform provider for Google Cloud ⓘ gcloud CLI ⓘ |
| containerRegistrySupport |
Artifact Registry
ⓘ
Container Registry ⓘ |
| deploymentUnit | container image ⓘ |
| developer | Google ⓘ |
| executionEnvironment | container sandbox ⓘ |
| hasVariant |
Cloud Run
self-linksurface differs
ⓘ
surface form:
Cloud Run (fully managed)
Cloud Run self-linksurface differs ⓘ
surface form:
Cloud Run for Anthos
|
| integratesWith |
Google BigQuery
ⓘ
surface form:
BigQuery
Cloud Armor ⓘ Cloud Build ⓘ Cloud Code ⓘ Cloud Logging ⓘ Cloud Monitoring ⓘ Cloud Profiler ⓘ Google Cloud Pub/Sub ⓘ
surface form:
Cloud Pub/Sub
Cloud SQL ⓘ Cloud Scheduler ⓘ Google Cloud Storage ⓘ
surface form:
Cloud Storage
Cloud Tasks ⓘ Cloud Trace ⓘ Eventarc ⓘ Firestore ⓘ Identity and Access Management ⓘ Identity-Aware Proxy ⓘ |
| networkModel | request-based autoscaling ⓘ |
| partOf |
Google Cloud
ⓘ
surface form:
Google Cloud Platform
|
| pricingGranularity |
per-GB-second
ⓘ
per-request ⓘ per-vCPU-second ⓘ |
| pricingModel | pay-per-use ⓘ |
| regionType | regional service ⓘ |
| requires |
OCI-compliant container image
ⓘ
stateless container ⓘ |
| runsOn | Google-managed infrastructure ⓘ |
| securityFeature |
automatic TLS termination
ⓘ
binary authorization support (via GKE/Anthos integration) ⓘ per-service IAM policies ⓘ service identity ⓘ |
| supports |
APIs
ⓘ
CI/CD pipelines ⓘ CPU allocation controls ⓘ Cloud Build integration ⓘ Cloud Code integration ⓘ Cloud Logging integration ⓘ Cloud Monitoring integration ⓘ Cloud Profiler integration ⓘ Cloud Run self-linksurface differs ⓘ
surface form:
Cloud Run jobs
Cloud Run self-linksurface differs ⓘ
surface form:
Cloud Run services
Cloud SQL connections ⓘ Cloud Trace integration ⓘ GitHub Actions integration ⓘ HTTP services ⓘ HTTP/2 ⓘ HTTPS by default ⓘ IAM-based access control ⓘ VPC access ⓘ WebSockets (HTTP/1) connections ⓘ automatic scaling ⓘ background processing ⓘ blue-green deployments ⓘ canary releases ⓘ concurrent request handling ⓘ containerized applications ⓘ cron-like scheduled invocations via Cloud Scheduler ⓘ custom domains ⓘ environment variables ⓘ event triggers via Eventarc ⓘ event-driven workloads ⓘ gRPC ⓘ memory configuration ⓘ minimum and maximum instance settings ⓘ request timeouts configuration ⓘ revision-based deployments ⓘ scale to zero ⓘ secret management via Secret Manager ⓘ service-to-service authentication ⓘ stateless services ⓘ traffic splitting ⓘ zero-configuration deployments ⓘ |
| useCase |
RESTful APIs
ⓘ
backend for web applications ⓘ batch jobs ⓘ cron jobs ⓘ data processing pipelines ⓘ event processing ⓘ microservices ⓘ |
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: Cloud Run Description of subject: Cloud Run is a fully managed serverless compute platform from Google Cloud that runs containerized applications and APIs that scale automatically on demand.
Referenced by (21)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Cloud Run for Anthos
this entity surface form:
Google Cloud Run
this entity surface form:
Cloud Run jobs
this entity surface form:
Cloud Run services
this entity surface form:
Cloud Run (fully managed)
this entity surface form:
Cloud Run for Anthos
this entity surface form:
Cloud Run for Anthos
this entity surface form:
Cloud Run for Anthos
this entity surface form:
Google Cloud Run
this entity surface form:
Cloud Run services