Triple
T22445618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuchsia |
E554855
|
entity |
| Predicate | audioStack |
P148228
|
FINISHED |
| Object | AudioCore |
—
|
NE NERFINISHED |
How this triple was built (4 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: AudioCore | Statement: [Fuchsia, audioStack, AudioCore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AudioCore Context triple: [Fuchsia, audioStack, AudioCore]
-
A.
Core Sound
Core Sound is a shallow coastal lagoon and estuary along the central North Carolina coast, lying behind the Outer Banks barrier islands.
-
B.
OpenSL ES
OpenSL ES is a cross-platform, hardware-accelerated audio API designed for embedded and mobile devices, commonly used to provide low-latency sound and music playback.
-
C.
XAudio
XAudio is a low-level audio API developed by Microsoft for high-performance sound processing and playback in Xbox and Windows games.
-
D.
Qualcomm Snapdragon Sound ecosystem
The Qualcomm Snapdragon Sound ecosystem is a suite of audio technologies and certifications designed to deliver high-resolution, low-latency, and reliable wireless sound experiences across compatible devices.
-
E.
AudioNet
AudioNet was an early internet radio and streaming media company that helped pioneer online audio broadcasting in the mid-1990s.
- 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: AudioCore Target entity description: AudioCore is Fuchsia’s central audio subsystem responsible for managing audio routing, mixing, and processing across the operating system.
-
A.
Core Sound
Core Sound is a shallow coastal lagoon and estuary along the central North Carolina coast, lying behind the Outer Banks barrier islands.
-
B.
OpenSL ES
OpenSL ES is a cross-platform, hardware-accelerated audio API designed for embedded and mobile devices, commonly used to provide low-latency sound and music playback.
-
C.
XAudio
XAudio is a low-level audio API developed by Microsoft for high-performance sound processing and playback in Xbox and Windows games.
-
D.
Qualcomm Snapdragon Sound ecosystem
The Qualcomm Snapdragon Sound ecosystem is a suite of audio technologies and certifications designed to deliver high-resolution, low-latency, and reliable wireless sound experiences across compatible devices.
-
E.
AudioNet
AudioNet was an early internet radio and streaming media company that helped pioneer online audio broadcasting in the mid-1990s.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioStack Context triple: [Fuchsia, audioStack, AudioCore]
-
A.
audioChip
Indicates that one entity functions as, or contains, an audio processing chip in relation to another entity.
-
B.
soundHardware
Indicates that an entity is associated with, uses, or provides sound-related hardware components or capabilities.
-
C.
audioStandard
Indicates the audio format or specification standard that applies to the associated media or device.
-
D.
audioStreaming
Indicates that one entity is transmitting audio data in real time for another entity to receive or play back.
-
E.
audioMemory
Indicates that one entity stores, retains, or is associated with audio information or sound-based memories related to another entity.
- F. None of above. chosen
Provenance (4 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b46e8ac8190bfa8c611ffcba822 |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:47 p.m.