Triple
T12323617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS Amplify |
E293777
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | Angular |
E34653
|
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: Angular | Statement: [AWS Amplify, supports, Angular]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angular Context triple: [AWS Amplify, supports, Angular]
-
A.
Angular
chosen
Angular is a popular TypeScript-based open-source web application framework developed by Google for building dynamic, single-page client applications.
-
B.
Angular CLI
Angular CLI is a command-line interface tool that streamlines the development, scaffolding, testing, and deployment of Angular applications.
-
C.
AngularJS
AngularJS is a pioneering JavaScript framework developed by Google that introduced a structured, declarative approach to building dynamic single-page web applications.
-
D.
Angular Material
Angular Material is a UI component library for Angular that provides reusable, accessible, and Material Design–compliant interface elements for web applications.
-
E.
Angular DevKit
Angular DevKit is a set of low-level libraries and tools that power the Angular CLI’s build, test, and code-generation workflows for Angular 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4d7dac81909ff10e64e229ef33 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8d27288190bdf32acd600141db |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.