Streams API
E856192
The Streams API is a web platform feature that enables efficient, programmable handling of streaming data in JavaScript, allowing developers to read, write, and transform data chunks incrementally.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Streams API canonical | 11 |
How this entity was disambiguated
This entity first appeared as the object of triple T10328547 — 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: Streams API Context triple: [TransformStream, partOf, Streams API]
-
A.
DataStream API
DataStream API is Apache Flink’s core streaming abstraction for building stateful, event-driven data processing applications over unbounded and bounded data streams.
-
B.
Kafka Streams
Kafka Streams is a Java library for building real-time, distributed stream processing applications on top of Apache Kafka.
-
C.
Back Stream
Back Stream is a minor watercourse in Somerset, England, that serves as one of the tributaries feeding into the River Tone.
-
D.
Pipeline
Pipeline is a scikit-learn utility that chains multiple data processing and modeling steps into a single composite estimator for streamlined machine learning workflows.
-
E.
Apache Beam
Apache Beam is an open-source unified programming model for defining and executing batch and streaming data processing pipelines across multiple execution engines.
- 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: Streams API Target entity description: The Streams API is a web platform feature that enables efficient, programmable handling of streaming data in JavaScript, allowing developers to read, write, and transform data chunks incrementally.
-
A.
DataStream API
DataStream API is Apache Flink’s core streaming abstraction for building stateful, event-driven data processing applications over unbounded and bounded data streams.
-
B.
Kafka Streams
Kafka Streams is a Java library for building real-time, distributed stream processing applications on top of Apache Kafka.
-
C.
Back Stream
Back Stream is a minor watercourse in Somerset, England, that serves as one of the tributaries feeding into the River Tone.
-
D.
Pipeline
Pipeline is a scikit-learn utility that chains multiple data processing and modeling steps into a single composite estimator for streamlined machine learning workflows.
-
E.
Apache Beam
Apache Beam is an open-source unified programming model for defining and executing batch and streaming data processing pipelines across multiple execution engines.
- F. None of above. chosen
Statements (53)
| Predicate | Object |
|---|---|
| instanceOf |
JavaScript API
ⓘ
Web API ⓘ |
| definedIn | WHATWG Streams Standard NERFINISHED ⓘ |
| enablesOperation |
backpressure handling
ⓘ
data transformation ⓘ incremental data processing ⓘ progressive consumption of data ⓘ queuing strategy configuration ⓘ stream cancellation ⓘ stream piping ⓘ stream teeing ⓘ |
| feature |
BYOB (bring your own buffer) reading
ⓘ
backpressure-aware flow control ⓘ error propagation through pipelines ⓘ lockable readers ⓘ queuing strategies ⓘ |
| goal |
composable data pipelines
ⓘ
efficient handling of streaming data ⓘ reduced memory usage for large data ⓘ |
| integratesWith |
Fetch API
NERFINISHED
ⓘ
Request.body ⓘ Response.body NERFINISHED ⓘ Web Streams in Node.js NERFINISHED ⓘ |
| partOf | Web Platform NERFINISHED ⓘ |
| runsInEnvironment |
Node.js
NERFINISHED
ⓘ
Service Worker ⓘ Web Worker NERFINISHED ⓘ Web browser ⓘ |
| standardizedBy | WHATWG NERFINISHED ⓘ |
| supportsDataType |
byte streams
ⓘ
generic JavaScript objects ⓘ text streams ⓘ |
| supportsInterface |
ByteLengthQueuingStrategy
NERFINISHED
ⓘ
CountQueuingStrategy NERFINISHED ⓘ ReadableByteStreamController NERFINISHED ⓘ ReadableStream NERFINISHED ⓘ ReadableStreamBYOBReader NERFINISHED ⓘ ReadableStreamDefaultController NERFINISHED ⓘ ReadableStreamDefaultReader NERFINISHED ⓘ TransformStream NERFINISHED ⓘ TransformStreamDefaultController NERFINISHED ⓘ WritableStream ⓘ WritableStreamDefaultController NERFINISHED ⓘ WritableStreamDefaultWriter NERFINISHED ⓘ |
| supportsPattern |
async iteration over streams
ⓘ
pipeThrough ⓘ pipeTo ⓘ |
| usedFor |
incremental parsing of large responses
ⓘ
network data processing ⓘ on-the-fly data transformation ⓘ progressive file downloads ⓘ video and audio streaming ⓘ |
| usedWithLanguage | JavaScript NERFINISHED ⓘ |
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: Streams API Description of subject: The Streams API is a web platform feature that enables efficient, programmable handling of streaming data in JavaScript, allowing developers to read, write, and transform data chunks incrementally.
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.