Triple
T17035545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna Method of Pictorial Statistics |
E413312
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data visualization method |
C22987
|
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: data visualization method Context triple: [Vienna Method of Pictorial Statistics, instanceOf, data visualization method]
-
A.
visualization technique
chosen
A visualization technique is a method or approach used to transform data or information into graphical or visual forms that enhance understanding, insight, and communication.
-
B.
data visualization platform
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.
-
C.
chronological visualization
A chronological visualization is a graphical representation that arranges events or data points in temporal order to illustrate changes, sequences, or trends over time.
-
D.
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.
-
E.
visual modeling language
A visual modeling language is a formal system that uses graphical notations (such as diagrams, symbols, and connectors) to represent, design, and communicate the structure and behavior of complex systems.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
Created at: April 10, 2026, 5:33 a.m.