Triple
T28618313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Information Protection |
E724321
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data classification and labeling service |
C54337
|
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: data classification and labeling service Context triple: [Azure Information Protection, instanceOf, data classification and labeling service]
-
A.
classification board
A classification board is an authoritative body or panel that evaluates and assigns categories, ratings, or classifications to items such as media, products, or information based on defined criteria and standards.
-
B.
social classification
Social classification is the systematic process of categorizing individuals or groups within a society based on attributes such as socioeconomic status, ethnicity, gender, occupation, or education, which shapes their access to resources, power, and opportunities.
-
C.
label services platform
A label services platform is a comprehensive solution that provides artists and rights holders with tools and support for distribution, marketing, data analytics, and royalty management without requiring a traditional record label deal.
-
D.
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.
-
E.
points classification
Points classification is a conceptual class that categorizes entities based on accumulated points or scores according to predefined criteria or performance metrics.
- 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 28, 2026, 4:32 a.m.