Triple

T11352017
Position Surface form Disambiguated ID Type / Status
Subject Apple platforms APIs E268859 entity
Predicate includesFramework P1393 FINISHED
Object UIKit E97039 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: UIKit | Statement: [Apple platforms APIs, includesFramework, UIKit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UIKit
Context triple: [Apple platforms APIs, includesFramework, UIKit]
  • A. UIKit chosen
    UIKit is Apple’s primary user interface framework for building and managing iOS app UIs, handling views, controls, event handling, and application infrastructure.
  • B. UIT
    UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
  • C. Cocoa Touch
    Cocoa Touch is Apple’s application development framework for building iOS and other mobile OS apps, providing the UI components, event handling, and infrastructure layers on top of the underlying operating system.
  • D. UIII
    UIII is the ICAO airport code for Irkutsk International Airport, a major airport serving the city of Irkutsk in eastern Siberia, Russia.
  • E. iOS
    iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea24489081908fbf47fd2e6d709c completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543a6e97481909dc77a553b217b4d completed April 19, 2026, 9:05 p.m.
Created at: April 8, 2026, 9:33 p.m.