Triple
T1933007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM WebSphere DataPower |
E40987
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | IBM product |
C8820
|
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: IBM product Context triple: [IBM WebSphere DataPower, instanceOf, IBM product]
-
A.
Amazon Web Services product
An Amazon Web Services product is a cloud-based service or tool provided by AWS that delivers specific computing, storage, networking, data, or application functionality on a scalable, on-demand basis.
-
B.
computer product line
A computer product line is a family of related computer models or configurations that share a common design and components but vary in features, performance, and price to target different customer needs and market segments.
-
C.
Intel subsidiary
An Intel subsidiary is a legally distinct company that is majority-owned and controlled by Intel Corporation to support its strategic, operational, or market objectives.
-
D.
OpenAI product
An OpenAI product is a software or service offering that applies OpenAI’s artificial intelligence models and technologies to solve specific user or business problems in a reliable, scalable, and user-friendly way.
-
E.
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.
- F. None of above. chosen
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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
Created at: March 4, 2026, 7:35 p.m.