Triple
T27798665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PySpark |
E702182
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Apache Spark component |
C11253
|
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: Apache Spark component Context triple: [PySpark, instanceOf, Apache Spark component]
-
A.
snowpark
Snowpark is a high-level API and developer framework in Snowflake that lets you write data pipelines, transformations, and machine learning logic in languages like Python, Java, and Scala directly within the Snowflake data platform.
-
B.
big data framework
chosen
A big data framework is a software platform that enables the distributed storage, processing, and analysis of large-scale, complex datasets across clusters of machines.
-
C.
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.
-
D.
in-memory analytics engine
An in-memory analytics engine is a software system that stores and processes data primarily in main memory to deliver extremely fast analytical queries and real-time insights.
-
E.
Java platform component
A Java platform component is a modular part of the Java ecosystem—such as the JVM, core libraries, or development tools—that provides specific functionality enabling Java applications to run and be developed consistently across environments.
- 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_69ef8408e0588190977cffa32dc33a29 |
completed | April 27, 2026, 3:43 p.m. |
Created at: April 27, 2026, 5:32 p.m.