Triple
T33433687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TextEncoderStream |
E856193
|
entity |
| Predicate | supportsStreamingBackpressure |
—
|
GENERATED |
| Object | true |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsStreamingBackpressure Context triple: [TextEncoderStream, supportsStreamingBackpressure, true]
-
A.
supportsBackpressure
chosen
Indicates that the entity can handle and regulate backpressure, allowing it to slow or adjust data flow in response to downstream demand or capacity.
-
B.
supportsStreamingIn
Indicates that one entity provides or enables streaming functionality within a specified context, environment, or medium.
-
C.
hasStreaming
Indicates that an entity provides or supports streaming access to another entity (such as media, data, or content).
-
D.
supportsMultipleStreams
Indicates that the subject is capable of handling or maintaining more than one data or communication stream at the same time.
-
E.
supportsStreamingWithoutDownload
Indicates that one entity enables another to access or play content via streaming in real time without requiring the content to be downloaded first.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:36 a.m.