Triple
T5905554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suica |
E131332
|
entity |
| Predicate | usableOn |
P2367
|
FINISHED |
| Object | Apple Pay |
E7983
|
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 Pay | Statement: [Suica, usableOn, Apple Pay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple Pay Context triple: [Suica, usableOn, Apple Pay]
-
A.
Apple Pay
chosen
Apple Pay is a mobile payment and digital wallet service by Apple that lets users make secure, contactless payments using their Apple devices.
-
B.
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.
-
C.
Samsung Pay
Samsung Pay is a mobile payment and digital wallet service by Samsung that lets users make secure contactless payments using compatible Samsung devices.
-
D.
Apple Cash
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.
-
E.
Google Pay
Google Pay is a digital wallet and online payment platform developed by Google that enables users to make secure contactless payments, in-app purchases, and online transactions using their devices.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0377159f88190a142cd7eed6118c1 |
completed | March 22, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b16ba6c881908e9a909bf86ea92d |
completed | March 23, 2026, 3:20 a.m. |
Created at: March 22, 2026, 3:59 p.m.