Triple

T17674366
Position Surface form Disambiguated ID Type / Status
Subject European school of programming language design E440605 entity
Predicate viewOnLanguages P46110 FINISHED
Object programming languages as mathematical objects 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: programming languages as mathematical objects | Statement: [European school of programming language design, viewOnLanguages, programming languages as mathematical objects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewOnLanguages
Context triple: [European school of programming language design, viewOnLanguages, programming languages as mathematical objects]
  • A. languageView chosen
    Indicates a relationship where one entity views, interprets, or presents another entity through the lens of a particular language or linguistic perspective.
  • B. navigationLanguage
    Indicates the language used for navigation-related content, such as menus, directions, or interface controls.
  • C. languageVariants
    Indicates that one language form is a variant or alternative version of another language.
  • D. hasLanguageOn
    Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
  • E. focusesOnLanguage
    Indicates that an entity’s primary attention, activity, or content is directed toward language as its main subject or concern.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6ba22081909e2099490c047378 completed April 19, 2026, 6 a.m.
PD Predicate disambiguation batch_69e3cde007d8819090dd92eea9f022cc completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 10 a.m.