Triple
T19401591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSA Fraud and Risk Intelligence |
E485337
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | fraud detection solution |
C34780
|
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: fraud detection solution Context triple: [RSA Fraud and Risk Intelligence, instanceOf, fraud detection solution]
-
A.
data protection solution
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.
anti-fraud provision
An anti-fraud provision is a contractual or statutory clause designed to prevent, detect, and remedy deceptive or dishonest conduct in transactions or financial activities.
-
C.
risk and compliance data service
chosen
A risk and compliance data service aggregates, analyzes, and delivers regulatory, risk, and compliance-related information to help organizations identify exposures, meet legal obligations, and support informed governance decisions.
-
D.
book about fraud prevention
A book about fraud prevention is a comprehensive guide that explains common fraud schemes, warning signs, and practical strategies individuals and organizations can use to detect, prevent, and respond to fraudulent activities.
-
E.
fraudster
A fraudster is an individual who intentionally deceives others, typically for financial or personal gain, by using false representations, manipulations, or dishonest schemes.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
Created at: April 10, 2026, 1:36 p.m.