Triple
T22650760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vue 3 ecosystem libraries |
E559083
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Vitest |
—
|
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: Vitest | Statement: [Vue 3 ecosystem libraries, includes, Vitest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vitest Context triple: [Vue 3 ecosystem libraries, includes, Vitest]
-
A.
Vitest
chosen
Vitest is a fast, Vite-native unit testing framework for JavaScript and TypeScript that offers a Jest-compatible API and modern developer experience.
-
B.
ts-jest
ts-jest is a Jest transformer and preprocessor that enables seamless testing of TypeScript code by compiling it on the fly within the Jest framework.
-
C.
Vue Test Utils
Vue Test Utils is the official testing utility library for Vue.js applications, providing tools to mount components, trigger events, and assert rendered output in unit and integration tests.
-
D.
Vite
Vite is a modern, lightning-fast frontend build tool and development server that leverages native ES modules and optimized bundling for frameworks like Vue and React.
-
E.
Testacular
Testacular is the former name of Karma, a popular JavaScript test runner used to automate and streamline browser-based testing.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703c5538819089d9b5349f26ea6d |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:05 p.m.