Triple
T25610351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyber Monday |
E642028
|
entity |
| Predicate | hasPaymentMethods |
P46101
|
FINISHED |
| Object | credit cards |
—
|
LITERAL 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: credit cards | Statement: [Cyber Monday, hasPaymentMethods, credit cards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPaymentMethods Context triple: [Cyber Monday, hasPaymentMethods, credit cards]
-
A.
hasPaymentOption
chosen
Indicates that an entity supports or offers a particular method or option for making payments.
-
B.
paymentMethod
Indicates the means or instrument through which a payment is made in a transaction.
-
C.
hasPaymentModel
Indicates that an entity uses, is associated with, or operates under a particular payment model or pricing scheme.
-
D.
hasCreditCardVariant
Indicates that one credit card is a specific version, type, or variation of another credit card.
-
E.
hasAdvancePaymentOption
Indicates that an entity offers the possibility to pay, in full or in part, before the corresponding goods or services are delivered or consumed.
- F. None of above.
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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 21, 2026, 4:41 p.m.