Triple
T7937833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Hat Ansible Certified Content |
E184326
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | enterprise automation content collection |
C1190
|
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: enterprise automation content collection Context triple: [Red Hat Ansible Certified Content, instanceOf, enterprise automation content collection]
-
A.
machine-readable data collection
A machine-readable data collection is an organized set of data stored in a structured digital format that can be automatically processed and interpreted by computer systems without human intervention.
-
B.
digital document workflow platform
A digital document workflow platform is a system that enables users to create, manage, route, review, approve, and securely store documents electronically through automated, trackable processes.
-
C.
managed data ingestion service
A managed data ingestion service is a fully hosted platform that reliably collects, transforms, and routes data from diverse sources into target systems at scale, handling infrastructure, scaling, and monitoring automatically.
-
D.
enterprise AI product
An enterprise AI product is a scalable, secure software solution that embeds artificial intelligence into business workflows to automate tasks, augment decision-making, and deliver measurable operational and strategic value across an organization.
-
E.
documentation corpus
chosen
A documentation corpus is a structured collection of written materials, such as manuals, guides, and reference texts, compiled to provide comprehensive information and support for a specific domain, product, or system.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
Created at: March 30, 2026, 5:08 p.m.