Triple
T15667695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hi Bixby |
E377225
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | voice wake word |
C21127
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: voice wake word Context triple: [Hi Bixby, instanceOf, voice wake word]
-
A.
speech recognition API
A speech recognition API is a software interface that converts spoken language into machine-readable text or commands, enabling applications to process and respond to voice input.
-
B.
voice application platform feature
chosen
A voice application platform feature is a functional capability within a voice-enabled system that allows developers or users to create, manage, and enhance interactive voice experiences through tools like speech recognition, natural language understanding, and integration with external services.
-
C.
voice-driven application
A voice-driven application is a software system that allows users to interact and perform tasks primarily through spoken commands and natural language input.
-
D.
automatic speech recognition system
An automatic speech recognition system converts spoken language into written text by analyzing and interpreting audio signals using acoustic, linguistic, and statistical models.
-
E.
voice service continuity mechanism
A voice service continuity mechanism is a system that ensures ongoing, uninterrupted voice communication by seamlessly maintaining or transferring active calls across different networks, technologies, or coverage areas.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
Created at: April 10, 2026, 4:16 a.m.