Snowpark
E96643
Snowpark is a developer framework from Snowflake that lets data engineers and data scientists write data pipelines and applications in languages like Python, Java, and Scala directly within the Snowflake data platform.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Snowpark canonical | 8 |
| Snowpark for Java | 3 |
| Snowpark for Python | 2 |
| Snowpark Java API | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T825651 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowpark Context triple: [Snowflake, hasProduct, Snowpark]
-
A.
Jack Frost Ski Resort
Jack Frost Ski Resort is a popular Pennsylvania ski area in the Pocono Mountains known for its winter sports terrain and family-friendly atmosphere.
-
B.
Blue Mountain Resort
Blue Mountain Resort is a major Canadian four-season ski and vacation destination located near Collingwood in Ontario, known for its ski slopes, village atmosphere, and outdoor recreation.
-
C.
Okemo Mountain Resort
Okemo Mountain Resort is a popular ski and snowboard destination in Ludlow, Vermont, known for its family-friendly atmosphere, extensive groomed terrain, and modern lift infrastructure.
-
D.
Snow Creek Ski Area
Snow Creek Ski Area is a small Midwestern ski and snowboard resort near Weston, Missouri, offering winter sports terrain and amenities to the Kansas City region.
-
E.
Heavenly Mountain Resort
Heavenly Mountain Resort is a major ski and snowboard destination in the Sierra Nevada known for its expansive terrain, vibrant après-ski scene, and panoramic views of Lake Tahoe.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snowpark Target entity description: Snowpark is a developer framework from Snowflake that lets data engineers and data scientists write data pipelines and applications in languages like Python, Java, and Scala directly within the Snowflake data platform.
-
A.
Jack Frost Ski Resort
Jack Frost Ski Resort is a popular Pennsylvania ski area in the Pocono Mountains known for its winter sports terrain and family-friendly atmosphere.
-
B.
Blue Mountain Resort
Blue Mountain Resort is a major Canadian four-season ski and vacation destination located near Collingwood in Ontario, known for its ski slopes, village atmosphere, and outdoor recreation.
-
C.
Okemo Mountain Resort
Okemo Mountain Resort is a popular ski and snowboard destination in Ludlow, Vermont, known for its family-friendly atmosphere, extensive groomed terrain, and modern lift infrastructure.
-
D.
Snow Creek Ski Area
Snow Creek Ski Area is a small Midwestern ski and snowboard resort near Weston, Missouri, offering winter sports terrain and amenities to the Kansas City region.
-
E.
Heavenly Mountain Resort
Heavenly Mountain Resort is a major ski and snowboard destination in the Sierra Nevada known for its expansive terrain, vibrant après-ski scene, and panoramic views of Lake Tahoe.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Snowflake feature
ⓘ
developer framework ⓘ |
| avoids | data movement out of Snowflake ⓘ |
| benefit |
centralized governance of code and data
ⓘ
reduced data egress costs ⓘ simplified data pipeline development ⓘ use of Snowflake scalability ⓘ |
| designedFor | bringing code to data ⓘ |
| developer |
Snowflake Inc.
ⓘ
linked to:
Snowflake Data Cloud
|
| enables |
ML model scoring in-database
ⓘ
batch data processing ⓘ complex transformations in SQL-adjacent code ⓘ streaming or near-real-time data processing ⓘ writing business logic close to data ⓘ |
| executionModel | server-side execution in Snowflake ⓘ |
| featureOf |
Snowflake data platform
ⓘ
linked to:
Snowflake Data Cloud
|
| hasComponent |
Snowpark for Java
ⓘ
linked to:
Java (via Snowpark)
Snowpark for JavaScript ⓘ Snowpark for Python ⓘ
linked to:
Python (via Snowpark)
Snowpark for Scala ⓘ |
| integratesWith |
Snowflake connectors and integrations
ⓘ
Snowflake governance features ⓘ Snowflake security model ⓘ Snowflake warehouses ⓘ
linked to:
Snowflake virtual warehouses
|
| partOf | Snowflake Data Cloud ⓘ |
| primaryUse |
data applications
ⓘ
data engineering ⓘ data pipelines ⓘ data science ⓘ machine learning workloads ⓘ |
| runsWhere | inside Snowflake compute engine ⓘ |
| supports |
DataFrame API
ⓘ
stored procedures ⓘ user-defined functions ⓘ vectorized operations on data ⓘ |
| supportsDeployment |
scalar user-defined functions
ⓘ
stored procedures in Java ⓘ stored procedures in Python ⓘ stored procedures in Scala ⓘ user-defined table functions ⓘ |
| supportsLanguage |
Java
ⓘ
JavaScript ⓘ Python ⓘ SQL ⓘ Scala ⓘ |
| targetUser |
application developers
ⓘ
data engineers ⓘ data scientists ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Snowpark Description of subject: Snowpark is a developer framework from Snowflake that lets data engineers and data scientists write data pipelines and applications in languages like Python, Java, and Scala directly within the Snowflake data platform.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Snowpark
linked to: Snowpark
linked to: Snowpark
linked to: Snowpark
linked to: Snowpark
linked to: Snowpark