Triple
T9800811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Card |
E237830
|
entity |
| Predicate | integration |
P1075
|
FINISHED |
| Object | Apple Cash |
E237829
|
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: Apple Cash | Statement: [Apple Card, integration, Apple Cash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple Cash Context triple: [Apple Card, integration, Apple Cash]
-
A.
Apple Cash
chosen
Apple Cash is a digital peer-to-peer payment service by Apple that lets users send, receive, and store money on their Apple devices for use in apps, online, and in stores.
-
B.
Apple Pay
Apple Pay is a mobile payment and digital wallet service by Apple that lets users make secure, contactless payments using their Apple devices.
-
C.
Cash App
Cash App is a popular mobile payment and financial services platform that lets users send and receive money, manage a balance, invest in stocks and Bitcoin, and use a linked debit card.
-
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.
StoreKit
StoreKit is an Apple framework that enables in-app purchases, subscriptions, and App Store interactions for macOS and other Apple platforms.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62a11a88190880e0cce24923b14 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c44a652c81908f644e1a5efe3eb1 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:29 p.m.