Triple
T7897754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NgRx |
E183376
|
entity |
| Predicate | providesModule |
P1261
|
FINISHED |
| Object | @ngrx/effects |
E183376
|
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: @ngrx/effects | Statement: [NgRx, providesModule, @ngrx/effects]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: @ngrx/effects Context triple: [NgRx, providesModule, @ngrx/effects]
-
A.
NgRx
chosen
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.
-
B.
Redux Saga
Redux Saga is a JavaScript library for managing complex asynchronous side effects in Redux applications using generator functions and a declarative effects model.
-
C.
Redux Thunk
Redux Thunk is a popular middleware for Redux that enables writing action creators as functions to handle asynchronous logic and side effects in a Redux application.
-
D.
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.
-
E.
RxJS
RxJS is a JavaScript library for reactive programming that uses observables to handle asynchronous data streams and event-based programs.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a296db8819084c620b12f77acb5 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bb719a08190a0545a361f559bf7 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:01 p.m.