Triple
T2129213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visa |
E46497
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Visa B2B Connect |
E46497
|
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: Visa B2B Connect | Statement: [Visa, product, Visa B2B Connect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Visa B2B Connect Context triple: [Visa, product, Visa B2B Connect]
-
A.
Braintree Direct
Braintree Direct is an online payment processing solution that enables businesses to securely accept and manage credit cards, digital wallets, and other payment methods through web and mobile applications.
-
B.
Chase Paymentech
Chase Paymentech is a payment processing and merchant services provider specializing in credit card and electronic transaction solutions for businesses.
-
C.
Stripe
Stripe is a leading financial technology company that provides online payment processing and related services for internet businesses worldwide.
-
D.
Visa
chosen
Visa is a global financial services corporation best known for operating one of the world’s largest electronic payment networks for credit, debit, and prepaid cards.
-
E.
Worldline
Worldline is a French multinational company specializing in payment and transactional services, recognized as a major European player in digital payments.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb7659f48190871cb27faf47e18a |
completed | March 7, 2026, 5:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51a36398819081df18cc18bc3456 |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.