Triple
T28057394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Festo SE & Co. KG |
E709003
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automation technology company |
C10153
|
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: automation technology company Context triple: [Festo SE & Co. KG, instanceOf, automation technology company]
-
A.
industrial automation company
chosen
An industrial automation company designs, develops, and implements control systems, robotics, and software solutions to optimize and automate manufacturing and industrial processes.
-
B.
simulation technology company
A simulation technology company develops advanced software and hardware systems that create realistic virtual models of real-world processes, environments, or products to support training, analysis, design, and decision-making.
-
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.
security technology company
A security technology company develops and provides advanced tools, systems, and services to protect people, data, and assets from physical and digital threats.
-
E.
civic technology company
A civic technology company is an organization that designs and deploys digital tools and platforms to improve public services, enhance government transparency, and increase citizen engagement in civic processes.
- 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_69ef9b6df9f48190bbb971d02cbe1b65 |
completed | April 27, 2026, 5:22 p.m. |
Created at: April 27, 2026, 8:37 p.m.