Triple
T4275565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Combine |
E97040
|
entity |
| Predicate | introducedWith |
P5655
|
FINISHED |
| Object | iOS 13 |
E8266
|
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 13 | Statement: [Combine, introducedWith, iOS 13]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: iOS 13 Context triple: [Combine, introducedWith, iOS 13]
-
A.
iPhone 13
The iPhone 13 is a flagship Apple smartphone released in 2021, featuring an improved dual-camera system, brighter OLED display, longer battery life, and 5G connectivity in a familiar flat-edged design.
-
B.
iPadOS
iPadOS is Apple’s tablet-focused operating system that builds on iOS with features and interfaces optimized for the iPad’s larger display and multitasking capabilities.
-
C.
iOS
chosen
iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
-
D.
IOS
IOS is the abbreviation for the International Officer School, a U.S. Air Force education program that trains and develops international military officers.
-
E.
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.
- 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.