Triple
T4111069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISOTYPE visual communication system |
E88572
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data visualization system |
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: data visualization system Context triple: [ISOTYPE visual communication system, instanceOf, data visualization system]
-
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.
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.
-
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.
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.
-
E.
global data-processing and forecasting system
A global data-processing and forecasting system is an integrated platform that ingests, cleans, analyzes, and models large-scale, heterogeneous data from worldwide sources to generate timely predictions and insights for decision-making.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
Created at: March 9, 2026, 3:41 p.m.