GraphQL
E208081
GraphQL is a query language and runtime for APIs that enables clients to request exactly the data they need from servers in a flexible, efficient way.
All labels observed (4)
| Label | Occurrences |
|---|---|
| GraphQL canonical | 5 |
| GraphQL API | 1 |
| GraphQL Foundation | 1 |
| GraphQL Specification | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1869697 — 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: GraphQL Context triple: [JSON, commonlyUsedWith, GraphQL]
-
A.
SPARQL
SPARQL is a semantic query language and protocol used to retrieve and manipulate data stored in Resource Description Framework (RDF) format on the Semantic Web.
-
B.
Grok
Grok is an AI chatbot developed by xAI, designed to provide conversational access to real-time information and reasoning capabilities.
-
C.
Next.js
Next.js is a popular React-based framework for building server-rendered and statically generated web applications with features like routing, API routes, and performance optimizations built in.
-
D.
Looker
Looker is a modern business intelligence and data analytics platform that enables organizations to explore, visualize, and share insights from their data.
-
E.
BARD Mobile app
The BARD Mobile app is a specialized application that provides accessible audio and braille books and magazines to people who are blind, visually impaired, or print disabled.
- 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: GraphQL Target entity description: GraphQL is a query language and runtime for APIs that enables clients to request exactly the data they need from servers in a flexible, efficient way.
-
A.
SPARQL
SPARQL is a semantic query language and protocol used to retrieve and manipulate data stored in Resource Description Framework (RDF) format on the Semantic Web.
-
B.
Grok
Grok is an AI chatbot developed by xAI, designed to provide conversational access to real-time information and reasoning capabilities.
-
C.
Next.js
Next.js is a popular React-based framework for building server-rendered and statically generated web applications with features like routing, API routes, and performance optimizations built in.
-
D.
Looker
Looker is a modern business intelligence and data analytics platform that enables organizations to explore, visualize, and share insights from their data.
-
E.
BARD Mobile app
The BARD Mobile app is a specialized application that provides accessible audio and braille books and magazines to people who are blind, visually impaired, or print disabled.
- F. None of above. chosen
Statements (100)
| Predicate | Object |
|---|---|
| instanceOf |
API query language
ⓘ
data query and manipulation language ⓘ query language ⓘ runtime for APIs ⓘ |
| avoids |
over-fetching of data
ⓘ
under-fetching of data ⓘ |
| canBeSerializedAs | JSON ⓘ |
| comparedTo |
REST API
ⓘ
surface form:
REST
SOAP API ⓘ
surface form:
SOAP
|
| designedFor |
APIs
ⓘ
mobile APIs ⓘ web APIs ⓘ |
| developer | Facebook ⓘ |
| enables |
clients to request exactly the data they need
ⓘ
single endpoint APIs ⓘ strongly typed API schemas ⓘ |
| governedBy |
GraphQL Foundation
ⓘ
Linux Foundation ⓘ |
| hasClientImplementation |
Apollo Android
ⓘ
Apollo Client ⓘ iOS ⓘ
surface form:
Apollo iOS
Relay ⓘ urql ⓘ |
| hasConcept |
directive
ⓘ
enum type ⓘ field ⓘ fragment ⓘ input type ⓘ interface type ⓘ mutation operation ⓘ object type ⓘ operation ⓘ query operation ⓘ resolver ⓘ scalar type ⓘ schema ⓘ schema introspection ⓘ subscription operation ⓘ type ⓘ union type ⓘ |
| hasFeature |
directives
ⓘ
field-level selection ⓘ fragments ⓘ introspection queries ⓘ introspection system ⓘ nested queries ⓘ schema stitching (via tooling) ⓘ single endpoint model ⓘ strongly typed schema ⓘ type system ⓘ variables ⓘ |
| hasServerImplementation |
Apollo Server
ⓘ
GraphQL.js ⓘ Hot Chocolate ⓘ graphql-dotnet ⓘ graphql-go ⓘ graphql-java ⓘ graphql-ruby ⓘ |
| hasSpecification |
GraphQL
self-linksurface differs
ⓘ
surface form:
GraphQL Specification
|
| inception | 2012 ⓘ |
| license | Open source ⓘ |
| notableScalarType |
Boolean
ⓘ
Float ⓘ ID ⓘ Int ⓘ String ⓘ |
| openSourcedBy | Facebook ⓘ |
| originalDeveloper | Facebook ⓘ |
| paradigm | declarative data fetching ⓘ |
| primaryUse |
data fetching
ⓘ
data manipulation ⓘ querying APIs ⓘ |
| publicReleaseDate | 2015-07-02 ⓘ |
| specificationLanguage | English ⓘ |
| standardizedBy |
GraphQL
self-linksurface differs
ⓘ
surface form:
GraphQL Foundation
|
| supports |
code-first development
ⓘ
mutations ⓘ queries ⓘ real-time data via subscriptions ⓘ schema-first development ⓘ subscriptions ⓘ |
| transportProtocol |
HTTP
ⓘ
WebSocket ⓘ |
| usedBy |
Airbnb
ⓘ
Facebook ⓘ GitHub API v4 ⓘ Netflix, Inc. ⓘ
surface form:
Netflix (in some services)
Shopify ⓘ Twitter, Inc. ⓘ
surface form:
Twitter (internal services)
|
| usedWith |
C# programming language
ⓘ
surface form:
C#
Go ⓘ Java ⓘ JavaScript ⓘ Kotlin ⓘ PHP ⓘ Python ⓘ Ruby ⓘ Swift ⓘ TypeScript programming language ⓘ
surface form:
TypeScript
|
| website | https://graphql.org/ ⓘ |
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: GraphQL Description of subject: GraphQL is a query language and runtime for APIs that enables clients to request exactly the data they need from servers in a flexible, efficient way.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
GraphQL Foundation
this entity surface form:
GraphQL Specification