Triple
T25607398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tableau Visionary recognition |
E641950
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Tableau program |
C3280
|
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: Tableau program Context triple: [Tableau Visionary recognition, instanceOf, Tableau program]
-
A.
data visualization platform
chosen
A data visualization platform is a software system that enables users to transform raw data into interactive, graphical representations to explore insights, identify patterns, and communicate information effectively.
-
B.
data visualization support service
A data visualization support service helps users design, build, and refine clear, effective visual representations of their data, providing tools, guidance, and technical assistance throughout the visualization process.
-
C.
interactive data tool
An interactive data tool is a software application that enables users to explore, manipulate, and visualize data dynamically through responsive, user-driven controls and interfaces.
-
D.
data engineering tool
A data engineering tool is a software solution that enables the collection, transformation, orchestration, and management of data pipelines to ensure reliable, scalable, and efficient data processing.
-
E.
graphical tool
A graphical tool is a software application or component that enables users to create, edit, or manipulate visual elements and diagrams through an interactive graphical interface.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 21, 2026, 4:39 p.m.