Triple
T1008940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPadOS |
E21776
|
entity |
| Predicate | programmingLanguage |
P1592
|
FINISHED |
| Object | Swift |
E17651
|
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: Swift | Statement: [iPadOS, programmingLanguage, Swift]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swift Context triple: [iPadOS, programmingLanguage, Swift]
-
A.
Swift
chosen
Swift is a modern, compiled programming language developed by Apple for building fast, safe, and expressive applications across its platforms and beyond.
-
B.
SwiftUI
SwiftUI is Apple’s modern declarative user interface framework for building apps across all its platforms using the Swift programming language.
-
C.
Swift Standard Library
The Swift Standard Library is the core collection of fundamental types, protocols, and utilities that provide essential functionality for writing programs in the Swift programming language.
-
D.
Swift Package Manager
Swift Package Manager is the official tool for managing, building, and distributing Swift code and dependencies across projects.
-
E.
Dart
Dart is a client-optimized, object-oriented programming language developed by Google, primarily used for building web and cross-platform mobile applications (notably with the Flutter framework).
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7a2186c819081a495bc15f8c7fd |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3ba9406c81909a13375fea05ee99 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.