Triple
T21568319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PowerScribe |
E532217
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | medical speech recognition software |
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: medical speech recognition software Context triple: [PowerScribe, instanceOf, medical speech recognition software]
-
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.
medical system
A medical system is an organized framework of people, institutions, technologies, and processes that work together to deliver healthcare services for maintaining and improving individuals’ health.
-
D.
medical program
A medical program is an organized course of study or coordinated set of healthcare services designed to educate practitioners or deliver medical care according to defined standards and objectives.
-
E.
medical device
A medical device is any instrument, apparatus, machine, implant, or similar article intended for use in diagnosing, preventing, monitoring, treating, or alleviating disease or other medical conditions in humans or animals.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
Created at: April 16, 2026, 6:30 p.m.