Triple
T20399362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hospital-Acquired Condition Reduction Program |
E500289
|
entity |
| Predicate | incentiveMechanism |
P43683
|
FINISHED |
| Object | financial penalties |
—
|
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: financial penalties | Statement: [Hospital-Acquired Condition Reduction Program, incentiveMechanism, financial penalties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incentiveMechanism Context triple: [Hospital-Acquired Condition Reduction Program, incentiveMechanism, financial penalties]
-
A.
rewardMechanism
Indicates a relationship where an entity provides or defines a system of incentives or compensation in response to certain actions, behaviors, or outcomes.
-
B.
ownerIncentive
Indicates that an owner has a motivation, benefit, or reward associated with a particular entity, action, or outcome.
-
C.
providesIncentivesTo
Indicates that one entity offers rewards, benefits, or motivations to another entity to encourage a desired behavior or outcome.
-
D.
economicMechanism
chosen
Indicates an economic process, structure, or set of rules through which resources, incentives, or transactions are organized and outcomes are generated.
-
E.
rewardModel
Indicates a relationship where one entity serves as a model or framework for assigning rewards or evaluating outcomes for another entity or process.
- 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_69e6798cf04481909f183c4c75fe6d52 |
completed | April 20, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.