Triple

T19111684
Position Surface form Disambiguated ID Type / Status
Subject Raft consensus algorithm E467805 entity
Predicate introducedInPaper P513 FINISHED
Object In Search of an Understandable Consensus Algorithm — NE NERFINISHED

How this triple was built (3 steps)

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.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: In Search of an Understandable Consensus Algorithm | Statement: [Raft consensus algorithm, introducedInPaper, In Search of an Understandable Consensus Algorithm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: In Search of an Understandable Consensus Algorithm
Context triple: [Raft consensus algorithm, introducedInPaper, In Search of an Understandable Consensus Algorithm]
  • A. Paxos consensus algorithm
    The Paxos consensus algorithm is a fault-tolerant protocol for achieving agreement among distributed systems, widely used as a foundation for reliable, replicated state machines and modern distributed databases.
  • B. Practical Byzantine Fault Tolerance
    Practical Byzantine Fault Tolerance is a consensus algorithm for distributed systems that efficiently tolerates Byzantine (arbitrary) faults, enabling reliable operation even when some nodes behave maliciously or unpredictably.
  • C. Raft consensus algorithm
    Raft consensus algorithm is a distributed consensus protocol designed to be more understandable and easier to implement than Paxos while providing equivalent fault-tolerant guarantees.
  • D. Byzantine fault tolerance
    Byzantine fault tolerance is a property of distributed systems that enables them to continue operating correctly even when some components behave arbitrarily or maliciously.
  • E. Paxos
    Paxos is a small Greek island in the Ionian Sea, known for its clear turquoise waters, olive groves, and tranquil, less-touristed atmosphere.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: In Search of an Understandable Consensus Algorithm
Target entity description: "In Search of an Understandable Consensus Algorithm" is the research paper that presents and explains the Raft consensus algorithm, emphasizing clarity and ease of understanding in distributed systems.
  • A. Paxos consensus algorithm
    The Paxos consensus algorithm is a fault-tolerant protocol for achieving agreement among distributed systems, widely used as a foundation for reliable, replicated state machines and modern distributed databases.
  • B. Practical Byzantine Fault Tolerance
    Practical Byzantine Fault Tolerance is a consensus algorithm for distributed systems that efficiently tolerates Byzantine (arbitrary) faults, enabling reliable operation even when some nodes behave maliciously or unpredictably.
  • C. Raft consensus algorithm chosen
    Raft consensus algorithm is a distributed consensus protocol designed to be more understandable and easier to implement than Paxos while providing equivalent fault-tolerant guarantees.
  • D. Byzantine fault tolerance
    Byzantine fault tolerance is a property of distributed systems that enables them to continue operating correctly even when some components behave arbitrarily or maliciously.
  • E. Paxos
    Paxos is a small Greek island in the Ionian Sea, known for its clear turquoise waters, olive groves, and tranquil, less-touristed atmosphere.
  • F. None of above.

Provenance (2 batches)

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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e394969c81909d09b2300ea0e041 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.