Triple
T27665238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swift |
E697210
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | distributed object storage system |
C24090
|
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: distributed object storage system Context triple: [Swift, instanceOf, distributed object storage system]
-
A.
distributed storage engine
chosen
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.
-
B.
distributed file system
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.
-
C.
distributed object technology
Distributed object technology is a software architecture paradigm that enables objects located on different networked computers to interact with each other as if they were local, supporting remote method invocation, transparency, and interoperability across distributed systems.
-
D.
distributed system
A distributed system is a collection of independent computers that appear to users as a single coherent system by coordinating and communicating over a network to achieve common goals.
-
E.
distributed operating system
A distributed operating system is software that manages a collection of independent networked computers and presents them to users and applications as a single coherent system.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 27, 2026, 2:37 p.m.