Triple
T20406058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hospital Readmissions Reduction Program |
E500470
|
entity |
| Predicate | penaltyCap |
P111590
|
FINISHED |
| Object | 3 percent of base operating DRG payments |
—
|
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: 3 percent of base operating DRG payments | Statement: [Hospital Readmissions Reduction Program, penaltyCap, 3 percent of base operating DRG payments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penaltyCap Context triple: [Hospital Readmissions Reduction Program, penaltyCap, 3 percent of base operating DRG payments]
-
A.
maximumPenaltySection1
Indicates the legal provision that specifies the highest penalty allowed under section 1 of a statute or regulation.
-
B.
maximumPenaltyForIndividuals
Indicates the highest allowable penalty that can be imposed on individual persons under a given rule, law, or policy.
-
C.
penaltyReducedTo
Indicates that an existing penalty has been lowered or commuted to a lesser penalty or amount.
-
D.
penaltyProvision
Indicates that a rule, contract, or law includes a clause specifying a punishment or sanction for non-compliance or violation.
-
E.
penaltyRules
chosen
Indicates the rules or conditions under which penalties are defined, applied, or enforced in a given 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67992cfb88190ae49a1723e6667a1 |
completed | April 20, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.