Triple
T35676571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Airways Dividend Miles |
E1030875
|
entity |
| Predicate | coBrandedCardBrand |
P115048
|
FINISHED |
| Object | MasterCard |
—
|
NE NERFINISHED |
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: MasterCard | Statement: [US Airways Dividend Miles, coBrandedCardBrand, MasterCard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coBrandedCardBrand Context triple: [US Airways Dividend Miles, coBrandedCardBrand, MasterCard]
-
A.
hadCoBrandedCreditCardsWith
chosen
Indicates that two entities jointly issued or partnered on one or more co-branded credit card products.
-
B.
cardBackBrand
Indicates the brand associated with the back side of a card.
-
C.
issuerBrandName
Indicates the brand name associated with the entity that issues a product, document, or instrument.
-
D.
providerBrand
Indicates that one entity is the brand or trademark under which a provider offers its services or products.
-
E.
cardBrandsInvolved
Indicates that specific payment card brands are involved or participate in a given transaction, process, or context.
- 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.