Triple
T33186450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Object Naming Service |
E849482
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | distributed computing component |
C61172
|
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 computing component Context triple: [Object Naming Service, instanceOf, distributed computing component]
-
A.
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.
-
B.
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.
-
C.
distributed computing paper
A distributed computing paper is a scholarly work that presents theories, algorithms, systems, or empirical studies related to computation performed across multiple interconnected machines or processes.
-
D.
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.
-
E.
distributed cache
A distributed cache is a system that stores frequently accessed data across multiple networked servers or nodes to improve performance, scalability, and fault tolerance in distributed applications.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:29 a.m.