Triple
T4765228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paxos consensus algorithm |
E105793
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | distributed algorithm |
C6819
|
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 algorithm Context triple: [Paxos consensus algorithm, instanceOf, distributed algorithm]
-
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 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.
-
C.
algorithm
chosen
An algorithm is a finite, well-defined sequence of computational steps or rules designed to solve a specific problem or perform a particular task.
-
D.
distributed computing award
A distributed computing award is a formal recognition given to individuals, teams, or organizations for outstanding contributions, innovations, or achievements in the theory, design, or practical deployment of distributed computing systems.
-
E.
partition-based clustering method
A partition-based clustering method is an approach that divides a dataset into a predefined number of non-overlapping groups (clusters) by directly assigning each data point to exactly one cluster based on a chosen similarity or distance measure.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
Created at: March 20, 2026, 1:21 p.m.