Triple
T28189142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Language Server Index Format |
E716253
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | file-based index format |
C2622
|
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: file-based index format Context triple: [Language Server Index Format, instanceOf, file-based index format]
-
A.
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.
-
B.
file format
chosen
A file format is a standardized structure and encoding scheme that defines how data is organized, stored, and interpreted within a digital file.
-
C.
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.
-
D.
binary format specification
A binary format specification precisely defines the structure, encoding rules, and interpretation of data represented in a non-textual, bit-level format for storage or transmission.
-
E.
high-performance file system
A high-performance file system is a storage management system designed to maximize data throughput, minimize latency, and efficiently handle large-scale or intensive I/O workloads through optimized data structures, caching, and parallelism.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
Created at: April 27, 2026, 10:24 p.m.