Triple

T16200224
Position Surface form Disambiguated ID Type / Status
Subject Eric A. Brewer E393178 entity
Predicate notableConcept P201 FINISHED
Object CAP theorem
The CAP theorem is a fundamental principle in distributed systems theory stating that it is impossible for a distributed data store to simultaneously provide full consistency, availability, and partition tolerance.
E1198659 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: CAP theorem | Statement: [Eric A. Brewer, notableConcept, CAP theorem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAP theorem
Context triple: [Eric A. Brewer, notableConcept, CAP theorem]
  • 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. Paxos
    Paxos is a small Greek island in the Ionian Sea, known for its clear turquoise waters, olive groves, and tranquil, less-touristed atmosphere.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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: CAP theorem
Triple: [Eric A. Brewer, notableConcept, CAP theorem]
Generated description
The CAP theorem is a fundamental principle in distributed systems theory stating that it is impossible for a distributed data store to simultaneously provide full consistency, availability, and partition tolerance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CAP theorem
Target entity description: The CAP theorem is a fundamental principle in distributed systems theory stating that it is impossible for a distributed data store to simultaneously provide full consistency, availability, and partition tolerance.
  • 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. Paxos
    Paxos is a small Greek island in the Ionian Sea, known for its clear turquoise waters, olive groves, and tranquil, less-touristed atmosphere.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22709b0d88190b40787e0520d02ab completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff1107908190afda091b53317d81 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a00014d982881908dcb9a0abd75a1e2 completed May 10, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_6a00021e42ec8190af9869b7f8be3ce5 completed May 10, 2026, 3:57 a.m.
Created at: April 10, 2026, 5:03 a.m.