Triple
T30369044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equihash |
E772501
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | proof-of-work algorithm |
C53073
|
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: proof-of-work algorithm Context triple: [Equihash, instanceOf, proof-of-work algorithm]
-
A.
proof-of-work system
chosen
A proof-of-work system is a consensus mechanism in which participants must perform and verifiably demonstrate computationally expensive work to gain the right to add new records or blocks, thereby securing the system against abuse.
-
B.
pure proof-of-stake blockchain
A pure proof-of-stake blockchain is a distributed ledger system where block creation and network security are entirely determined by validators’ stake (ownership of the native token), without relying on energy-intensive mining or hybrid consensus mechanisms.
-
C.
Algorand protocol feature
An Algorand protocol feature is a specific built-in capability or mechanism of the Algorand blockchain that enhances its security, scalability, consensus, or smart contract functionality.
-
D.
distributed consensus algorithm
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.
-
E.
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.
- 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 7:59 p.m.