Triple

T12516989
Position Surface form Disambiguated ID Type / Status
Subject Scheme R5RS E299212 entity
Predicate formalSemanticsStyle P74447 FINISHED
Object denotational semantics 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: denotational semantics | Statement: [Scheme R5RS, formalSemanticsStyle, denotational semantics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formalSemanticsStyle
Context triple: [Scheme R5RS, formalSemanticsStyle, denotational semantics]
  • A. formalismType
    Indicates the specific formal system or representational framework in which something (such as a theory, model, or specification) is expressed.
  • B. formalCharacteristics
    Indicates that one entity specifies or describes the official, structured, or formally defined attributes or properties of another entity.
  • C. formalismFor
    Indicates that one entity serves as a formal representation, framework, or notation specifically designed to model, describe, or reason about another entity.
  • D. syntaxStyle
    Indicates the stylistic or structural conventions used in the form or arrangement of an expression, statement, or code.
  • E. hasSemanticsDefinedBy chosen
    Indicates that the meaning or interpretation of one entity is specified, constrained, or determined by another entity.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954b867dc8190af8a70f797e4d133 completed April 10, 2026, 7:51 p.m.
PD Predicate disambiguation batch_69d954096af88190b6be81b008c82139 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:57 p.m.