Triple
T13177098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | applied cryptography |
E313125
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | area of computer security |
C24280
|
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: area of computer security Context triple: [applied cryptography, instanceOf, area of computer security]
-
A.
computer security specialist
A computer security specialist is a professional who protects computer systems, networks, and data from unauthorized access, attacks, and vulnerabilities by implementing, monitoring, and improving security measures.
-
B.
cybersecurity system
A cybersecurity system is an integrated set of tools, policies, and processes designed to protect digital assets, networks, and data from unauthorized access, attacks, and damage.
-
C.
security architecture
Security architecture is the structured design of an organization's security controls, principles, and technologies that work together to protect systems, data, and operations from threats and vulnerabilities.
-
D.
subfield of computer science
chosen
A subfield of computer science is a specialized area of study and research within the broader discipline that focuses on a particular set of concepts, techniques, and applications, such as artificial intelligence, computer graphics, or cybersecurity.
-
E.
research computer system
A research computer system is a specialized computing environment designed to support complex scientific or academic investigations by providing high-performance processing, large-scale data storage, and advanced analytical tools.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
Created at: April 9, 2026, 9:14 p.m.