Triple
T22463184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVEVA |
E555281
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | industrial software company |
C31647
|
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: industrial software company Context triple: [AVEVA, instanceOf, industrial software company]
-
A.
industrial automation company
An industrial automation company designs, develops, and implements control systems, robotics, and software solutions to optimize and automate manufacturing and industrial processes.
-
B.
enterprise software vendor
chosen
An enterprise software vendor is a company that develops, sells, and supports large-scale software solutions designed to meet the complex, mission-critical needs of organizations.
-
C.
automotive software company
A company that designs, develops, and maintains software solutions specifically for vehicles and the automotive industry, such as embedded systems, driver assistance, connectivity, and fleet management platforms.
-
D.
computer services company
A computer services company is an organization that provides technical expertise, support, and solutions related to computer systems, software, networks, and IT infrastructure for individuals or other businesses.
-
E.
manufacturing company
A manufacturing company is an organization that transforms raw materials or components into finished goods through industrial processes, machinery, and labor for sale to other businesses or consumers.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:48 p.m.