Triple

T22373816
Position Surface form Disambiguated ID Type / Status
Subject Vite E553105 entity
Predicate supportsLanguage P2177 FINISHED
Object PostCSS NE NERFINISHED

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: PostCSS | Statement: [Vite, supportsLanguage, PostCSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PostCSS
Context triple: [Vite, supportsLanguage, PostCSS]
  • A. PostCSS chosen
    PostCSS is a JavaScript-based tool for transforming CSS with plugins, enabling features like future CSS syntax, linting, and optimization in modern web development workflows.
  • B. Tailwind CSS
    Tailwind CSS is a utility-first CSS framework that provides low-level, composable classes for rapidly building custom user interfaces without writing traditional CSS.
  • C. Stylus CSS preprocessor
    Stylus is a dynamic CSS preprocessor that adds powerful features like variables, mixins, and flexible syntax to streamline and enhance stylesheet authoring for web development.
  • D. Svelte
    Svelte is a modern JavaScript framework and compiler for building user interfaces that shifts much of the work to a build step, producing highly efficient, minimal runtime code.
  • E. Prettier
    Prettier is an opinionated code formatter that automatically enforces consistent style across various programming languages and file types.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15806b534819083716c2b090ede42 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:45 p.m.