Triple
T28329966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LevelDB |
E717513
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | key–value storage library |
C53899
|
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: key–value storage library Context triple: [LevelDB, instanceOf, key–value storage library]
-
A.
key–value store index
A key–value store index is a data structure that maps keys to the physical or logical locations of their associated values, enabling efficient lookup, insertion, and deletion operations in a key–value storage system.
-
B.
distributed storage engine
A distributed storage engine is a system that manages and coordinates data storage across multiple networked nodes to provide scalable, fault-tolerant, and high-performance data access.
-
C.
in-memory storage engine
An in-memory storage engine is a data management component that stores and processes all data directly in main memory rather than on disk to achieve extremely low-latency access and high throughput.
-
D.
file-based database engine
A file-based database engine is a lightweight data management system that stores and retrieves structured data directly from local files without requiring a separate database server process.
-
E.
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.
- F. None of above. chosen
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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
Created at: April 28, 2026, 12:31 a.m.