Triple
T36417462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commercial Repayment Center |
E897049
|
entity |
| Predicate | typeOfOverpayment |
—
|
GENERATED |
| Object | conditional payments made by Medicare |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfOverpayment Context triple: [Commercial Repayment Center, typeOfOverpayment, conditional payments made by Medicare]
-
A.
typeOfPaymentAffected
Indicates that a particular type or method of payment is impacted or influenced by a specified condition, event, or action.
-
B.
penaltyTypes
Indicates the kinds or categories of penalties that are associated with or applied to an entity or action.
-
C.
ovalType
Indicates that one entity is classified as having an oval shape or belonging to an oval-shaped type.
-
D.
calculationType
Indicates the specific method, formula, or approach used to perform a calculation in the described relationship.
-
E.
payType
Indicates the method or category of payment used in a transaction or compensation arrangement.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.