Triple
T32415048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Face API |
E828314
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cloud-based facial recognition service |
C6083
|
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: cloud-based facial recognition service Context triple: [Azure Face API, instanceOf, cloud-based facial recognition service]
-
A.
facial analysis API
A facial analysis API is a service that processes images or video frames to detect and interpret facial features, expressions, demographics, and other attributes for integration into applications.
-
B.
Azure Cognitive Service
Azure Cognitive Service is a cloud-based collection of AI-powered APIs and tools that enable developers to easily add capabilities like vision, speech, language understanding, and decision-making to their applications without needing deep machine learning expertise.
-
C.
recognition framework
A recognition framework is a structured approach or system for identifying, categorizing, and validating entities, patterns, or achievements according to defined criteria and processes.
-
D.
camera feature
A camera feature is a distinct capability or setting of a camera system that enhances how images or videos are captured, processed, or presented.
-
E.
cloud service
chosen
A cloud service is an on-demand, internet-delivered computing resource—such as storage, processing power, or applications—managed by a provider and accessed remotely by users.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:54 a.m.