Triple
T10329187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Web Platform |
E242834
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Web Audio API |
E555970
|
NE FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Web Audio API | Statement: [Open Web Platform, hasComponent, Web Audio API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Web Audio API Context triple: [Open Web Platform, hasComponent, Web Audio API]
-
A.
Web Audio API
chosen
The Web Audio API is a high-level JavaScript API for creating, processing, and controlling audio in web applications, enabling complex audio effects, spatialization, and real-time audio synthesis directly in the browser.
-
B.
XAudio
XAudio is a low-level audio API developed by Microsoft for high-performance sound processing and playback in Xbox and Windows games.
-
C.
audioOS
audioOS is Apple’s specialized operating system designed to power and manage the features of its HomePod smart speakers.
-
D.
SKAudioNode
SKAudioNode is a SpriteKit class used to play and control audio within 2D games and interactive scenes.
-
E.
AudioSculpt
AudioSculpt is a sound analysis and processing software developed by IRCAM, widely used for detailed spectral editing and transformation of audio.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cfd54c8190b6f88598339536d1 |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71db4a8dc81909adb2a044e74fd6b |
completed | April 9, 2026, 3:32 a.m. |
Created at: April 6, 2026, 11:52 a.m.