Triple
T8248045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Offensive Security |
E192895
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cybersecurity training company |
C16037
|
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: cybersecurity training company Context triple: [Offensive Security, instanceOf, cybersecurity training company]
-
A.
network security company
A network security company is an organization that designs, implements, and manages technologies and services to protect computer networks, data, and systems from unauthorized access, attacks, and other cyber threats.
-
B.
cybersecurity entrepreneur
A cybersecurity entrepreneur is an individual who identifies digital security risks and market needs, then builds and scales innovative security-focused products or services to protect organizations and users from cyber threats.
-
C.
for-profit education company
A for-profit education company is a privately owned organization that delivers educational programs or services with the primary goal of generating financial profit.
-
D.
training firm
chosen
A training firm is an organization that designs, delivers, and evaluates educational programs to develop individuals’ or organizations’ skills, knowledge, and performance.
-
E.
cybersecurity agency
A cybersecurity agency is an organization that protects digital systems, networks, and data from cyber threats through monitoring, prevention, incident response, and security consulting.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
Created at: March 30, 2026, 5:48 p.m.