Triple
T25607440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Viz competition |
E641951
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data visualization competition |
C50524
|
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 competition Context triple: [Iron Viz competition, instanceOf, data visualization competition]
-
A.
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.
-
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.
artificial intelligence competition
An artificial intelligence competition is an organized event where participants develop and pit AI systems against each other to solve defined tasks or challenges under specified rules and evaluation criteria.
-
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.
visualization technique
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.
- F. None of above. chosen
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.