Triple
T370954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iOS |
E8266
|
entity |
| Predicate | feature |
P374
|
FINISHED |
| Object | App Store ecosystem |
E20626
|
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: App Store ecosystem | Statement: [iOS, feature, App Store ecosystem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: App Store ecosystem Context triple: [iOS, feature, App Store ecosystem]
-
A.
App Store
chosen
The App Store is Apple’s official digital marketplace for discovering, purchasing, and downloading apps and games on iOS, iPadOS, macOS, watchOS, and tvOS devices.
-
B.
Apple Arcade
Apple Arcade is a subscription-based gaming service offering access to a curated library of premium, ad-free games across Apple devices.
-
C.
iOS
iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
-
D.
Apple Wallet
Apple Wallet is a digital wallet app by Apple that securely stores and manages payment cards, passes, tickets, and IDs for use across compatible Apple devices.
-
E.
Amazon Appstore
Amazon Appstore is a digital distribution platform for mobile apps and games, primarily for Android devices and Amazon’s Fire tablets.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebff472881909fad81d597425ea6 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3f0a78c748190ae5e64919f1d6501 |
completed | March 1, 2026, 7:54 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.