Triple

T7895999
Position Surface form Disambiguated ID Type / Status
Subject Mono runtime E183343 entity
Predicate usedIn P98 FINISHED
Object Xamarin.iOS E34609 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: Xamarin.iOS | Statement: [Mono runtime, usedIn, Xamarin.iOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xamarin.iOS
Context triple: [Mono runtime, usedIn, Xamarin.iOS]
  • A. Xamarin chosen
    Xamarin is a cross-platform mobile app development framework that allows developers to build native iOS, Android, and Windows applications using C# and .NET.
  • B. UIKit
    UIKit is Apple’s primary user interface framework for building and managing iOS app UIs, handling views, controls, event handling, and application infrastructure.
  • C. iOS
    iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
  • D. .NET MAUI
    .NET MAUI is a cross-platform framework from Microsoft for building native desktop and mobile applications with a single .NET codebase and shared UI.
  • E. IOS
    IOS is the abbreviation for the International Officer School, a U.S. Air Force education program that trains and develops international military officers.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a174574819084270dbb6fcbb7fe completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bae4bdc8190be7db2ba3acb708a completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:01 p.m.