Triple
T22813446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tailwind CSS |
E565040
|
entity |
| Predicate | uses |
P98
|
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: [Tailwind CSS, uses, PostCSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PostCSS Context triple: [Tailwind CSS, uses, 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.
Sass
Sass is a popular CSS preprocessor language that extends standard CSS with features like variables, nesting, mixins, and functions to enable more powerful and maintainable styling.
-
D.
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.
-
E.
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.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d61c6f081908d3911710b3aff51 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.