Triple
T12441134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabbit Card |
E297271
|
entity |
| Predicate | paymentNetworkScope |
P104947
|
FINISHED |
| Object | closed-loop |
—
|
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 | Statement: [Rabbit Card, paymentNetworkScope, closed-loop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paymentNetworkScope Context triple: [Rabbit Card, paymentNetworkScope, closed-loop]
-
A.
paymentNetworkType
Indicates the type or category of payment network through which a payment is processed or routed.
-
B.
paymentNetworkRole
Indicates the specific function or responsibility an entity has within a payment network (such as issuer, acquirer, or processor).
-
C.
paymentEnvironment
Indicates the context or setting in which a payment is initiated, processed, or completed (such as online, in-store, or in-app).
-
D.
paymentSystem
Indicates a relationship where one entity functions as a mechanism or platform through which another entity makes or processes payments.
-
E.
paymentServices
Indicates that one entity provides or facilitates payment-related services or processing for another entity.
- F. None of above. chosen
Provenance (4 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94df652cc8190a1d2d685fa87cf98 |
completed | April 10, 2026, 7:22 p.m. |
Created at: April 8, 2026, 9:55 p.m.