Triple
T17499366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPICE |
E426152
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | in-memory calculation engine |
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: in-memory calculation engine Context triple: [SPICE, instanceOf, in-memory calculation engine]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
managed in-memory data store service
A managed in-memory data store service is a cloud-based solution that provides fast, scalable, and fully administered in-memory caching and data storage capabilities without requiring users to manage underlying infrastructure.
-
E.
educational calculator
An educational calculator is a learning-focused computational tool designed to perform mathematical operations while teaching underlying concepts through guided steps, visualizations, and interactive feedback.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 10, 2026, 5:48 a.m.