Triple

T12323620
Position Surface form Disambiguated ID Type / Status
Subject AWS Amplify E293777 entity
Predicate supports P516 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: [AWS Amplify, supports, React Native]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: React Native
Context triple: [AWS Amplify, supports, 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 Native for Web
    React Native for Web is a library that enables React Native components and APIs to run on the web, allowing developers to build cross-platform applications with a shared codebase.
  • C. React Native for Windows
    React Native for Windows is a framework that enables developers to build native Windows desktop applications using React and JavaScript, integrating seamlessly with modern Windows UI and platform features.
  • D. React
    React is a popular open-source JavaScript library for building interactive user interfaces, particularly single-page web applications.
  • E. Expo framework
    Expo framework is an open-source toolchain and platform for building, deploying, and iterating on React Native applications with minimal native configuration.
  • 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.