Triple
T5964219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exponent |
E132712
|
entity |
| Predicate | technologyStack |
P21680
|
FINISHED |
| Object | React Native |
E132715
|
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: React Native | Statement: [Exponent, technologyStack, React Native]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: React Native Context triple: [Exponent, technologyStack, React Native]
-
A.
React Native
chosen
React Native is a JavaScript framework developed by Meta for building native mobile applications for iOS and Android using React components.
-
B.
React
React is a popular open-source JavaScript library for building interactive user interfaces, particularly single-page web applications.
-
C.
Next.js
Next.js is a popular React-based framework for building server-rendered and statically generated web applications with features like routing, API routes, and performance optimizations built in.
-
D.
Xamarin
Xamarin is a cross-platform mobile app development framework that allows developers to build native iOS, Android, and Windows applications using C# and .NET.
-
E.
SwiftUI
SwiftUI is Apple’s modern declarative user interface framework for building apps across all its platforms using the Swift programming language.
- 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_69c0e3f32e8481908a6075684287c412 |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:03 p.m.