Triple

T2175364
Position Surface form Disambiguated ID Type / Status
Subject DSSSL E48513 entity
Predicate usesProgrammingParadigm P11868 FINISHED
Object functional programming 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: functional programming | Statement: [DSSSL, usesProgrammingParadigm, functional programming]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesProgrammingParadigm
Context triple: [DSSSL, usesProgrammingParadigm, functional programming]
  • A. programmingLanguage
    Indicates that one entity is a programming language used to create, control, or interact with the other entity.
  • B. supportedParadigm chosen
    Indicates that one entity (such as a tool, language, or system) provides functionality or features that enable or are compatible with a particular paradigm or methodological approach.
  • C. languageOfProgramming
    Indicates that one entity is a programming language used to implement, develop, or script the other entity.
  • D. programmingIncludes
    Indicates that one programming-related entity contains, incorporates, or makes use of another as a part, feature, or component.
  • E. programming
    Indicates that an entity writes, develops, or modifies software or code, typically using a programming language to create or control computer programs.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc4358fc88190a6f556c2de9fef8c completed March 7, 2026, 6:22 a.m.
PD Predicate disambiguation batch_69abbda0ec948190be88c1243d81a423 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.