Triple
T6733162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OVpay |
E153685
|
entity |
| Predicate | supportsWallet |
P18380
|
FINISHED |
| Object | Samsung Pay |
E10335
|
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: Samsung Pay | Statement: [OVpay, supportsWallet, Samsung Pay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samsung Pay Context triple: [OVpay, supportsWallet, Samsung Pay]
-
A.
Samsung Pay
chosen
Samsung Pay is a mobile payment and digital wallet service by Samsung that lets users make secure contactless payments using compatible Samsung devices.
-
B.
Samsung Wallet
Samsung Wallet is Samsung’s all-in-one digital wallet app that lets users securely store and use payment cards, passes, IDs, and other digital keys on their Samsung devices.
-
C.
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.
-
D.
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.
-
E.
Fitbit Pay
Fitbit Pay is a contactless payment service that lets users make secure purchases directly from compatible Fitbit wearable 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7c94bac8190ae4b236d1b04bec9 |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0502d081909662028e2b40c7f3 |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:09 p.m.