Triple
T14395368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Datalore |
E356935
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | collaborative data science platform |
C33932
|
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: collaborative data science platform Context triple: [Datalore, instanceOf, collaborative data science platform]
-
A.
data sharing platform
A data sharing platform is a system that enables secure, controlled exchange and collaboration on data between multiple users, organizations, or applications.
-
B.
data processing platform
A data processing platform is an integrated system that ingests, transforms, analyzes, and manages data at scale to enable efficient, reliable, and repeatable data-driven operations and insights.
-
C.
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.
-
D.
data science institute
A data science institute is an organization dedicated to advancing the theory and practice of data-driven analysis through education, research, and collaboration across disciplines.
-
E.
machine learning platform component
A machine learning platform component is a modular software element that provides specific functionality—such as data processing, model training, deployment, or monitoring—within an integrated ML lifecycle system.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 10, 2026, 1:16 a.m.