Triple
T29900665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voltage SecureData |
E759398
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data protection product |
C31230
|
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 protection product Context triple: [Voltage SecureData, instanceOf, data protection product]
-
A.
data protection solution
chosen
A data protection solution is a system or set of tools and practices designed to safeguard data from loss, corruption, unauthorized access, and misuse throughout its lifecycle.
-
B.
data center security product
A data center security product is a solution that protects physical and virtual data center assets by monitoring, controlling, and securing access, network traffic, and system activities against unauthorized use, breaches, and disruptions.
-
C.
privacy protection software
Privacy protection software is a class of applications designed to safeguard users' personal data and online activities by controlling access, encrypting information, and preventing unauthorized tracking or disclosure.
-
D.
web services security product
A web services security product is a software solution that protects APIs and web-based services from unauthorized access, data breaches, and attacks by providing authentication, authorization, encryption, and threat detection capabilities.
-
E.
scientific data product
A scientific data product is a processed, quality-controlled dataset or derived information package created from raw observations or experiments to support analysis, interpretation, and reuse in research.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 6:06 p.m.