Triple
T27887985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tungsten execution engine |
E705280
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Spark execution backend |
C23350
|
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: Spark execution backend Context triple: [Tungsten execution engine, instanceOf, Spark execution backend]
-
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.
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.
-
C.
batch processing environment
A batch processing environment is a computing setup where jobs are collected, scheduled, and executed automatically without user interaction, typically optimized for high-throughput, large-scale, or periodic workloads.
-
D.
in-memory analytical engine
chosen
An in-memory analytical engine is a system that stores and processes data directly in main memory to enable extremely fast, interactive analytical queries and complex computations.
-
E.
Datalog engine
A Datalog engine is a system that evaluates Datalog programs by efficiently computing logical inferences over a set of facts and rules, typically using fixpoint or bottom-up evaluation strategies.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
Created at: April 27, 2026, 6:34 p.m.