Triple
T28330019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Log-Structured Merge-Tree |
E717514
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | write-optimized data structure |
C53900
|
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: write-optimized data structure Context triple: [Log-Structured Merge-Tree, instanceOf, write-optimized data structure]
-
A.
data structure utility
A data structure utility is a helper component that provides common operations, transformations, and management functions for various data structures to simplify and standardize their use in applications.
-
B.
in-memory data buffer
An in-memory data buffer is a temporary storage area in RAM used to hold data while it is being transferred between processes, components, or devices to improve performance and manage data flow.
-
C.
copy-on-write file system
A copy-on-write file system is a storage system that defers data copying until modification, allowing snapshots and efficient versioning by sharing unchanged data blocks between files or system states.
-
D.
cryptographic data structure
A cryptographic data structure is a data organization that uses cryptographic primitives to ensure properties like integrity, authenticity, privacy, or verifiability of the stored or processed information.
-
E.
hash table data structure
A hash table data structure stores key-value pairs in an array-like structure using a hash function to map keys to indices, enabling fast average-time insertion, lookup, and deletion operations.
- 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.