Triple
T20114456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byzantine Generals Problem |
E490418
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | problem in distributed computing |
C17350
|
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: problem in distributed computing Context triple: [Byzantine Generals Problem, instanceOf, problem in distributed computing]
-
A.
distributed systems problem
chosen
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.
-
B.
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.
-
C.
theorem in distributed computing
A theorem in distributed computing is a formally proven statement that characterizes fundamental limits, guarantees, or behaviors of distributed systems under specified models, assumptions, and failure conditions.
-
D.
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.
-
E.
computer science problem
A computer science problem is a well-defined computational task or question that requires designing algorithms, data structures, or formal methods to determine a solution or prove properties about its solvability or complexity.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
Created at: April 11, 2026, 11:29 p.m.