Triple
T7928582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Content delivery network |
E184129
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Distributed system |
C903
|
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 system Context triple: [Content delivery network, instanceOf, Distributed system]
-
A.
distributed system
chosen
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 systems problem
A distributed systems problem is a challenge that arises from coordinating multiple independent computing nodes to work together reliably, efficiently, and consistently despite failures, latency, and partial information.
-
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 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.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
Created at: March 30, 2026, 5:07 p.m.