Triple
T26638594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenplum |
E668705
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | massively parallel processing database |
C14788
|
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: massively parallel processing database Context triple: [Greenplum, instanceOf, massively parallel processing database]
-
A.
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.
-
B.
database
chosen
A database is an organized collection of structured or unstructured data stored and managed in a way that enables efficient retrieval, modification, and administration.
-
C.
in-memory analytics appliance
An in-memory analytics appliance is a specialized hardware and software system that stores and processes data entirely in RAM to deliver extremely fast, interactive analytical querying and reporting.
-
D.
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.
-
E.
online analytical processing server
An online analytical processing server is a specialized system that stores, organizes, and processes multidimensional data to support fast, complex analytical queries and business intelligence reporting.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 27, 2026, 2:28 a.m.