Triple
T1015763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tvOS |
E21925
|
entity |
| Predicate | usesFramework |
P1587
|
FINISHED |
| Object | UIKit for tvOS |
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 for tvOS | Statement: [tvOS, usesFramework, UIKit for tvOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UIKit for tvOS Context triple: [tvOS, usesFramework, UIKit for tvOS]
-
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.
tvOS
tvOS is Apple’s operating system designed specifically for its Apple TV digital media players, enabling apps, streaming, and interactive entertainment on the television.
-
C.
macOS Cocoa
macOS Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces on macOS.
-
D.
visionOS
visionOS is Apple’s mixed-reality operating system designed for spatial computing on Apple Vision Pro, integrating 3D interfaces, gesture and eye tracking, and immersive app experiences.
-
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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c05060819083c51717874074c8 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bb1b0bc819095af3b50bfebca1e |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.