Triple
T5894590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vuex |
E131072
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Vuex |
E131072
|
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: Vuex | Statement: [Vuex, name, Vuex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vuex Context triple: [Vuex, name, Vuex]
-
A.
Vuex
chosen
Vuex is the official state management library for Vue.js applications, providing a centralized store and predictable state handling patterns.
-
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.
Redux
Redux is a predictable state management library for JavaScript applications, commonly used with React to centralize and control application state through a unidirectional data flow.
-
D.
NgRx
NgRx is a set of reactive state management libraries for Angular applications, inspired by Redux and built on RxJS to help manage global and local application state in a predictable way.
-
E.
Redux Toolkit
Redux Toolkit is the official, opinionated toolset for efficient Redux development, providing simplified APIs and best practices for state management in JavaScript 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f220dc8190ad553d33de4e2ecd |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e385ac5c8190ad8824db416ea009 |
completed | March 23, 2026, 6:53 a.m. |
Created at: March 22, 2026, 3:58 p.m.