Triple
T37150018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avalanche consensus |
E920337
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | gossip-based consensus protocol |
C41035
|
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: gossip-based consensus protocol Context triple: [Avalanche consensus, instanceOf, gossip-based consensus protocol]
-
A.
fault-tolerant consensus protocol
A fault-tolerant consensus protocol is a distributed algorithm that enables a group of nodes to reliably agree on a shared state or value even when some nodes fail or behave maliciously.
-
B.
distributed consensus algorithm
chosen
A distributed consensus algorithm is a protocol that enables a group of independent, networked nodes to reliably agree on a single shared value or state, even in the presence of failures or unreliable communication.
-
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.
cluster-wide lock manager
A cluster-wide lock manager is a distributed coordination component that provides mutually exclusive access to shared resources across all nodes in a cluster, ensuring consistency and preventing conflicting operations.
-
E.
consensus-based decision-making process
A consensus-based decision-making process is a collaborative method in which all participants work together to reach a mutually acceptable agreement that everyone can support or at least live with, rather than relying on majority rule.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.