Triple
T5964716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan You |
E132722
|
entity |
| Predicate | notableProject |
P4
|
FINISHED |
| Object | Vue Router |
E131070
|
NE 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: Vue Router | Statement: [Evan You, notableProject, Vue Router]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vue Router Context triple: [Evan You, notableProject, Vue Router]
-
A.
Vue Router
chosen
Vue Router is the official routing library for Vue.js applications, enabling client-side navigation, nested routes, and dynamic route matching.
-
B.
Vue.js
Vue.js is a progressive JavaScript framework for building user interfaces and single-page applications with a focus on simplicity and reactive data binding.
-
C.
React Router
React Router is a popular routing library for React applications that enables declarative, client-side navigation and URL management in single-page apps.
-
D.
Nuxt.js
Nuxt.js is a high-level framework built on Vue.js that simplifies the development of server-rendered, statically generated, and single-page web applications.
-
E.
Vue CLI
Vue CLI is the official command-line tool for Vue.js that streamlines project scaffolding, configuration, and development workflows for Vue applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a0240cc81909d7c75c7e6d630f7 |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1083361e08190aaba9e99a856e015 |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4:03 p.m.