Triple
T18017438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scala (via Snowpark) |
E431030
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Snowflake development interface |
C10364
|
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: Snowflake development interface Context triple: [Scala (via Snowpark), instanceOf, Snowflake development interface]
-
A.
Snowflake feature
A Snowflake feature is a distinct capability or functionality within the Snowflake cloud data platform that enhances how data is stored, processed, secured, or analyzed.
-
B.
database development tool
chosen
A database development tool is a software application that helps developers design, build, manage, and optimize databases through features like schema modeling, query editing, debugging, and performance analysis.
-
C.
collaborative data science platform
A collaborative data science platform is an integrated environment where multiple users can jointly develop, run, and share data workflows, analyses, and models using shared datasets, tools, and computational resources.
-
D.
data lake service
A data lake service is a scalable, centralized repository that stores vast amounts of raw, structured, and unstructured data and provides tools for ingestion, management, and analytics.
-
E.
serverless analytics service
A serverless analytics service is a cloud-based platform that automatically provisions and scales compute resources to process and analyze data on demand, charging only for actual usage without requiring infrastructure management.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:24 a.m.