Triple
T32187708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Discover Card |
E822150
|
entity |
| Predicate | cardNetworkModel |
P89771
|
FINISHED |
| Object | closed-loop network |
—
|
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: closed-loop network | Statement: [Discover Card, cardNetworkModel, closed-loop network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardNetworkModel Context triple: [Discover Card, cardNetworkModel, closed-loop network]
-
A.
cardNetworkRank
Indicates the relative position or ranking of a payment card network compared to other card networks, typically based on metrics such as usage, market share, or performance.
-
B.
cardType
Indicates the classification or category assigned to a card within a given system or context.
-
C.
cardFunction
Indicates that one entity serves as the functional role, capability, or purpose associated with a card-related entity in a system.
-
D.
cardBrandsInvolved
Indicates that specific payment card brands are involved or participate in a given transaction, process, or context.
-
E.
paymentNetworkType
chosen
Indicates the type or category of payment network through which a payment is processed or routed.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6babc938c8190a233c3a8b5254802 |
completed | May 3, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:35 a.m.