Triple
T4275503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UIKit |
E97039
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | iOS SDK |
E268859
|
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: iOS SDK | Statement: [UIKit, partOf, iOS SDK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: iOS SDK Context triple: [UIKit, partOf, iOS SDK]
-
A.
macOS SDK
macOS SDK is Apple’s software development kit that provides the frameworks, tools, and APIs needed to build applications for the macOS operating system.
-
B.
iOS
iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
-
C.
Apple platforms APIs
chosen
Apple platforms APIs are the software interfaces and frameworks provided by Apple for building applications across its operating systems, including iOS, macOS, watchOS, and tvOS.
-
D.
Android SDK
Android SDK is a collection of development tools, libraries, and APIs that enables developers to build, test, and debug applications for the Android operating system.
-
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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501c35688190a7d15d904f15f968 |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7b0b2ec819090ccf042917ae207 |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:07 p.m.