Triple
T4765359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byzantine Generals Problem |
E105795
|
entity |
| Predicate | relatedConcept |
P37
|
FINISHED |
| Object |
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.
|
E467812
|
NE FINISHED |
How this triple was built (4 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: FLP impossibility result | Statement: [Byzantine Generals Problem, relatedConcept, FLP impossibility result]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FLP impossibility result Context triple: [Byzantine Generals Problem, relatedConcept, FLP impossibility result]
-
A.
"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.
-
B.
"Time, Clocks, and the Ordering of Events in a Distributed System"
"Time, Clocks, and the Ordering of Events in a Distributed System" is a seminal 1978 paper that introduced logical clocks and the happened-before relation, fundamentally shaping the theory and practice of distributed computing.
-
C.
Byzantine Generals Problem
The Byzantine Generals Problem is a classic computer science and distributed systems thought experiment that illustrates the difficulty of achieving reliable consensus among participants in the presence of faulty or malicious actors.
-
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.
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.
- 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: FLP impossibility result Triple: [Byzantine Generals Problem, relatedConcept, FLP impossibility result]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FLP impossibility result Target entity description: 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.
-
A.
"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.
-
B.
"Time, Clocks, and the Ordering of Events in a Distributed System"
"Time, Clocks, and the Ordering of Events in a Distributed System" is a seminal 1978 paper that introduced logical clocks and the happened-before relation, fundamentally shaping the theory and practice of distributed computing.
-
C.
Byzantine Generals Problem
The Byzantine Generals Problem is a classic computer science and distributed systems thought experiment that illustrates the difficulty of achieving reliable consensus among participants in the presence of faulty or malicious actors.
-
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.
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.
- F. None of above. chosen
Provenance (5 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6534d6b48190911c295b5601a762 |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a87741081909380c51ba4efed92 |
completed | March 21, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69be3d444b888190b2df7433502604ff |
completed | March 21, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3dd31c648190bfdac15fb85cfec9 |
completed | March 21, 2026, 6:42 a.m. |
Created at: March 20, 2026, 1:21 p.m.