Triple
T37235116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monaco |
E923550
|
entity |
| Predicate | cardProgramPartnerType |
P32727
|
FINISHED |
| Object | Visa |
—
|
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: Visa | Statement: [Monaco, cardProgramPartnerType, Visa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardProgramPartnerType Context triple: [Monaco, cardProgramPartnerType, Visa]
-
A.
creditCardPartner
chosen
Indicates a partnership or affiliation between entities related to credit card products or services.
-
B.
loyaltyProgramPartner
Indicates that there is a partnership or affiliation between entities within the same loyalty or rewards program.
-
C.
issuerBrandPortfolioIncludes
Indicates that an issuer’s overall brand portfolio contains or encompasses a particular brand.
-
D.
issuerBrandName
Indicates the brand name associated with the entity that issues a product, document, or instrument.
-
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_69f76ea9fee88190a589f661d95a7189 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.