Bicep language
E937577
Bicep language is a domain-specific, declarative language developed by Microsoft for authoring Azure infrastructure-as-code templates more simply and reliably than traditional JSON-based ARM templates.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Bicep language canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T11653865 — 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: Bicep language Context triple: [Azure Resource Manager, predecessorOf, Bicep language]
-
A.
Bench language
Bench language is an Afro-Asiatic Omotic language spoken by the Bench people of southwestern Ethiopia.
-
B.
Pear language
Pear language is an Austroasiatic language of the Pearic branch spoken by the Pear people of Cambodia and considered highly endangered.
-
C.
Mono language
Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
-
D.
Beta (programming language)
Beta is an object-oriented programming language developed as a successor to Simula, notable for its unification of classes and procedures into a single abstraction called patterns.
-
E.
Mimi-D language
Mimi-D is an extinct and poorly documented language of Chad, historically spoken by a small ethnic group and only fragmentarily known from early 20th-century records.
- 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: Bicep language Target entity description: Bicep language is a domain-specific, declarative language developed by Microsoft for authoring Azure infrastructure-as-code templates more simply and reliably than traditional JSON-based ARM templates.
-
A.
Bench language
Bench language is an Afro-Asiatic Omotic language spoken by the Bench people of southwestern Ethiopia.
-
B.
Pear language
Pear language is an Austroasiatic language of the Pearic branch spoken by the Pear people of Cambodia and considered highly endangered.
-
C.
Mono language
Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
-
D.
Beta (programming language)
Beta is an object-oriented programming language developed as a successor to Simula, notable for its unification of classes and procedures into a single abstraction called patterns.
-
E.
Mimi-D language
Mimi-D is an extinct and poorly documented language of Chad, historically spoken by a small ethnic group and only fragmentarily known from early 20th-century records.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
declarative language
ⓘ
domain-specific language ⓘ infrastructure-as-code language ⓘ |
| aimsTo |
improve authoring experience for Azure IaC
ⓘ
provide more concise syntax than ARM JSON ⓘ |
| category |
Azure Resource Manager tooling
ⓘ
linked to:
Azure Resource Manager
|
| compilesTo |
Azure Resource Manager templates
ⓘ
linked to:
Azure Resource Manager
|
| designedFor |
Azure Resource Manager
ⓘ
authoring Azure infrastructure-as-code templates ⓘ |
| developer | Microsoft ⓘ |
| documentationURL | https://learn.microsoft.com/azure/azure-resource-manager/bicep/overview ⓘ |
| ecosystem | Azure infrastructure-as-code ⓘ |
| executionModel | compiled to ARM and executed by Azure Resource Manager ⓘ |
| integratesWith |
Azure CLI
ⓘ
Azure DevOps Pipelines ⓘ
linked to:
Azure DevOps
Azure PowerShell ⓘ GitHub Actions ⓘ |
| introducedBy |
Azure engineering team
ⓘ
linked to:
Microsoft Azure core platform teams
|
| license | open source ⓘ |
| paradigm | declarative ⓘ |
| primaryGoal |
improve reliability of ARM templates
ⓘ
simplify authoring of ARM templates ⓘ |
| replaces | JSON-based ARM templates authoring experience ⓘ |
| repositoryHost | GitHub ⓘ |
| sourceRepositoryURL | https://github.com/Azure/bicep ⓘ |
| supports |
all Azure Resource Manager resource types
ⓘ
conditions ⓘ linting rules ⓘ loops ⓘ module registries ⓘ modules ⓘ outputs ⓘ parameter default values ⓘ parameters ⓘ resource dependencies ⓘ resource scopes ⓘ resource type validation ⓘ string interpolation ⓘ symbolic names for resources ⓘ template decompilation from ARM JSON ⓘ template reuse ⓘ type safety ⓘ user-defined modules ⓘ variables ⓘ |
| targetPlatform |
Microsoft Azure
ⓘ
linked to:
Azure
|
| tooling |
Bicep CLI
ⓘ
Visual Studio Code extension ⓘ |
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: Bicep language Description of subject: Bicep language is a domain-specific, declarative language developed by Microsoft for authoring Azure infrastructure-as-code templates more simply and reliably than traditional JSON-based ARM templates.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.