Triple
T27814890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GFS |
E702632
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | fault-tolerant file system |
C23355
|
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: fault-tolerant file system Context triple: [GFS, instanceOf, fault-tolerant file system]
-
A.
fault-tolerant consensus protocol
A fault-tolerant consensus protocol is a distributed algorithm that enables a group of nodes to reliably agree on a shared state or value even when some nodes fail or behave maliciously.
-
B.
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.
-
C.
distributed file system
chosen
A distributed file system is a storage system that manages and presents files across multiple networked machines as a single, unified file hierarchy, providing location transparency, fault tolerance, and scalable access to data.
-
D.
journaling file system
A journaling file system is a type of file system that records changes to a dedicated log (journal) before committing them to the main file system, improving reliability and recovery after crashes.
-
E.
flash-friendly file system
A flash-friendly file system is a storage management system designed to optimize performance, wear leveling, and reliability on flash memory devices by minimizing random writes and efficiently handling erase-block constraints.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
Created at: April 27, 2026, 5:45 p.m.