Triple
T17499214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPICE in-memory engine |
E426149
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | columnar data store |
C24089
|
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: columnar data store Context triple: [SPICE in-memory engine, instanceOf, columnar data store]
-
A.
columnar storage engine
chosen
A columnar storage engine is a database storage system that organizes and stores data by columns rather than rows to optimize analytical query performance and compression.
-
B.
in-memory analytical engine
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.
row-oriented storage format
A row-oriented storage format is a data layout where all the column values for each record are stored together contiguously, optimizing for transactional workloads that frequently read or write entire rows.
-
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.
megastore
A megastore is a very large retail establishment that offers an extensive variety of products across multiple categories, often combining the functions of a supermarket, department store, and specialty shops under one roof.
- 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.