Argo Workflows
E699337
Argo Workflows is a Kubernetes-native workflow engine for orchestrating complex container-based jobs and CI/CD pipelines using declarative YAML.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Argo Workflows canonical | 5 |
| Tekton Pipelines | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7939889 — 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: Argo Workflows Context triple: [Argo CD, integratesWith, Argo Workflows]
-
A.
Argo CD
Argo CD is a declarative, GitOps-based continuous delivery tool that automates application deployment and lifecycle management on Kubernetes clusters.
-
B.
Kubeflow Pipelines
Kubeflow Pipelines is a platform for building, deploying, and managing end-to-end machine learning workflows on Kubernetes using containerized components.
-
C.
Knative
Knative is an open-source Kubernetes-based platform that simplifies building, deploying, and managing serverless and event-driven applications.
-
D.
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.
-
E.
Kubernetes
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of machines.
- 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: Argo Workflows Target entity description: Argo Workflows is a Kubernetes-native workflow engine for orchestrating complex container-based jobs and CI/CD pipelines using declarative YAML.
-
A.
Argo CD
Argo CD is a declarative, GitOps-based continuous delivery tool that automates application deployment and lifecycle management on Kubernetes clusters.
-
B.
Kubeflow Pipelines
Kubeflow Pipelines is a platform for building, deploying, and managing end-to-end machine learning workflows on Kubernetes using containerized components.
-
C.
Knative
Knative is an open-source Kubernetes-based platform that simplifies building, deploying, and managing serverless and event-driven applications.
-
D.
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.
-
E.
Kubernetes
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of machines.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Kubernetes-native application
ⓘ
open-source software ⓘ workflow engine ⓘ |
| configurationFormat | YAML ⓘ |
| developedBy | Intuit ⓘ |
| feature |
CLI tool
ⓘ
RBAC integration ⓘ artifact management ⓘ artifact repositories integration ⓘ cluster workflow templates ⓘ conditional execution ⓘ event-based workflow triggering ⓘ loops ⓘ parallel execution ⓘ parameter passing ⓘ resource quotas support ⓘ retries and backoff ⓘ web UI ⓘ workflow DAG visualization ⓘ workflow archiving ⓘ workflow resubmission ⓘ workflow suspension and resumption ⓘ workflow templates ⓘ |
| governedBy | Cloud Native Computing Foundation ⓘ |
| license | Apache License 2.0 ⓘ |
| partOf | Argo Project ⓘ |
| programmingLanguage | Go ⓘ |
| repository | https://github.com/argoproj/argo-workflows ⓘ |
| runsOn | Kubernetes ⓘ |
| supports |
CI/CD pipelines
ⓘ
DAG workflows ⓘ batch data processing ⓘ container-based workflows ⓘ cron workflows ⓘ machine learning pipelines ⓘ step-based workflows ⓘ |
| supportsContainerRuntime |
Docker
ⓘ
containerd ⓘ |
| useCase |
automating ML training and deployment workflows
ⓘ
implementing GitOps-style CI/CD pipelines ⓘ orchestrating complex workflows on Kubernetes ⓘ running multi-step data pipelines ⓘ |
| uses |
CustomResourceDefinition
ⓘ
linked to:
Kubernetes Custom Resource Definitions
Kubernetes Custom Resources ⓘ
linked to:
Kubernetes Custom Resource Definitions
Kubernetes pods ⓘ Kubernetes services ⓘ Kubernetes volumes ⓘ |
| website | https://argoproj.github.io/argo-workflows ⓘ |
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: Argo Workflows Description of subject: Argo Workflows is a Kubernetes-native workflow engine for orchestrating complex container-based jobs and CI/CD pipelines using declarative YAML.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Argo Workflows