Triple

T4765272
Position Surface form Disambiguated ID Type / Status
Subject Paxos consensus algorithm E105793 entity
Predicate messagePattern P8034 FINISHED
Object two-round protocol in basic form LITERAL FINISHED

How this triple was built (2 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: two-round protocol in basic form | Statement: [Paxos consensus algorithm, messagePattern, two-round protocol in basic form]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: messagePattern
Context triple: [Paxos consensus algorithm, messagePattern, two-round protocol in basic form]
  • A. notationPattern
    Indicates a recurring way in which something is symbolically represented or written, such as a consistent style or structure of notation used for an entity or concept.
  • B. intendedMessage
    Indicates that one entity is the message or content that another entity aims or plans to communicate.
  • C. pattern chosen
    Indicates that one entity exhibits, follows, or is characterized by a particular recurring form, structure, or arrangement associated with another entity.
  • D. bodyPattern
    Indicates a recurring or characteristic configuration, arrangement, or sequence exhibited by a body or physical form.
  • E. moduloPatternName
    Indicates that an entity is associated with a specific naming pattern used for modulo-based grouping or partitioning.
  • F. None of above.

Provenance (3 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_69bd686ef1b08190ad60375592c9d6c0 completed March 20, 2026, 3:31 p.m.
PD Predicate disambiguation batch_69bd622807f881908e4bcb14f7731bac completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:21 p.m.