Triple
T10837445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hearsay speech understanding system |
E255799
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | speech understanding system |
C5203
|
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: speech understanding system Context triple: [Hearsay speech understanding system, instanceOf, speech understanding system]
-
A.
automatic speech recognition system
chosen
An automatic speech recognition system converts spoken language into written text by analyzing and interpreting audio signals using acoustic, linguistic, and statistical models.
-
B.
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.
-
C.
speech codec
A speech codec is a system that encodes and compresses spoken audio into a digital format for efficient transmission or storage and then decodes it back into intelligible speech.
-
D.
speech collection
A speech collection is an organized set of recorded or transcribed spoken utterances, typically gathered for analysis, archiving, or training speech-related systems.
-
E.
natural language understanding platform
A natural language understanding platform is a system that interprets, analyzes, and derives meaning from human language input to enable intelligent, context-aware interactions and automation.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:19 p.m.