Triple

T7427776
Position Surface form Disambiguated ID Type / Status
Subject EIGRP E171411 entity
Predicate algorithmFullName P54503 FINISHED
Object Diffusing Update Algorithm
Diffusing Update Algorithm is the loop-free, distributed routing computation method at the core of EIGRP that enables rapid, efficient route convergence in IP networks.
E663645 NE FINISHED

How this triple was built (5 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: Diffusing Update Algorithm | Statement: [EIGRP, algorithmFullName, Diffusing Update Algorithm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diffusing Update Algorithm
Context triple: [EIGRP, algorithmFullName, Diffusing Update 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. FLP impossibility result
    The FLP impossibility result is a foundational theorem in distributed computing showing that in an asynchronous system, no deterministic consensus protocol can guarantee both safety and liveness in the presence of even a single crash failure.
  • 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. Paxos
    Paxos is a small Greek island in the Ionian Sea, known for its clear turquoise waters, olive groves, and tranquil, less-touristed atmosphere.
  • E. "Reaching Agreement in the Presence of Faults"
    "Reaching Agreement in the Presence of Faults" is a seminal paper in distributed computing that introduced the Byzantine Generals Problem and laid the foundations for understanding consensus in unreliable, fault-prone systems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Diffusing Update Algorithm
Triple: [EIGRP, algorithmFullName, Diffusing Update Algorithm]
Generated description
Diffusing Update Algorithm is the loop-free, distributed routing computation method at the core of EIGRP that enables rapid, efficient route convergence in IP networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Diffusing Update Algorithm
Target entity description: Diffusing Update Algorithm is the loop-free, distributed routing computation method at the core of EIGRP that enables rapid, efficient route convergence in IP networks.
  • 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. FLP impossibility result
    The FLP impossibility result is a foundational theorem in distributed computing showing that in an asynchronous system, no deterministic consensus protocol can guarantee both safety and liveness in the presence of even a single crash failure.
  • 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. Paxos
    Paxos is a small Greek island in the Ionian Sea, known for its clear turquoise waters, olive groves, and tranquil, less-touristed atmosphere.
  • E. "Reaching Agreement in the Presence of Faults"
    "Reaching Agreement in the Presence of Faults" is a seminal paper in distributed computing that introduced the Byzantine Generals Problem and laid the foundations for understanding consensus in unreliable, fault-prone systems.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: algorithmFullName
Context triple: [EIGRP, algorithmFullName, Diffusing Update Algorithm]
  • A. algorithmType
    Indicates the specific kind or category of algorithm associated with an entity or process.
  • B. algorithmFamily
    Indicates that one algorithm belongs to, or is categorized under, a broader family or class of related algorithms.
  • C. hasAlgorithmName chosen
    Indicates that an entity is associated with or identified by a specific algorithm name.
  • D. hasAlgorithmNamedAfter
    Indicates that an entity has an algorithm that is named after another entity.
  • E. protocolFullName
    Indicates that one entity is the complete, human-readable name of a protocol associated with another entity.
  • F. None of above.

Provenance (6 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f306bfe481909f99f6792de95ffc completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f0e28e88190805108dff740dda3 completed March 28, 2026, 6:33 p.m.
NEDg Description generation batch_69c8200c52c8819083b14e8d768fc9be completed March 28, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_69c82084879c8190ae60b99f702dc058 completed March 28, 2026, 6:40 p.m.
PD Predicate disambiguation batch_69c6f03648d08190b862d07fef71210c completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:12 p.m.