Triple

T31692933
Position Surface form Disambiguated ID Type / Status
Subject Calculus of Communicating Systems E808839 entity
Predicate semanticsGivenBy P74447 FINISHED
Object labelled transition system 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: labelled transition system | Statement: [Calculus of Communicating Systems, semanticsGivenBy, labelled transition system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: semanticsGivenBy
Context triple: [Calculus of Communicating Systems, semanticsGivenBy, labelled transition system]
  • A. hasSemanticsDefinedBy chosen
    Indicates that the meaning or interpretation of one entity is specified, constrained, or determined by another entity.
  • B. semanticsDetail
    Indicates a more specific or fine-grained semantic characterization or nuance of a broader meaning or interpretation.
  • C. hasSemantics
    Indicates that one entity carries or encodes the meaning, interpretation, or semantic content associated with another entity.
  • D. semanticRootMeaning
    Indicates the fundamental or core meaning that underlies a word, phrase, or expression in a semantic structure.
  • E. semanticType
    Indicates that something belongs to or is categorized under a particular semantic class or type based on its meaning.
  • 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_69f348ddcbc48190950cabcc25ff29b3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aaf50be08190a2b62a6d881f8aee completed May 3, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:09 p.m.