Triple
T7088772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Alexa Skills |
E165140
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | voice application platform feature |
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 application platform feature Context triple: [Amazon Alexa Skills, instanceOf, voice application platform feature]
-
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 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.
-
C.
telephony service
A telephony service is a system that enables the transmission, routing, and management of voice and related communication over telephone networks or IP-based infrastructures.
-
D.
intelligent personal assistant
An intelligent personal assistant is a software agent that uses artificial intelligence to understand user requests, manage tasks, and provide personalized information or services through natural language interaction.
-
E.
Skype service feature
A Skype service feature is a distinct capability or tool within the Skype platform that enables users to communicate, collaborate, or manage their interactions through functions such as voice and video calls, messaging, file sharing, and screen sharing.
- F. None of above. chosen
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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
Created at: March 27, 2026, 2:41 p.m.