Triple
T1064701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medicaid |
E22982
|
entity |
| Predicate | beneficiaryCostSharing |
P5902
|
FINISHED |
| Object | limited premiums and copayments subject to federal rules |
—
|
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: limited premiums and copayments subject to federal rules | Statement: [Medicaid, beneficiaryCostSharing, limited premiums and copayments subject to federal rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beneficiaryCostSharing Context triple: [Medicaid, beneficiaryCostSharing, limited premiums and copayments subject to federal rules]
-
A.
hasBenefit
Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
-
B.
beneficiaries
Indicates that certain entities receive advantages, profits, or positive outcomes from an action, event, or arrangement.
-
C.
costToUser
chosen
Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
-
D.
primaryBeneficiaries
Indicates which entities are the main recipients or advantaged parties resulting from a particular action, resource, or arrangement.
-
E.
eligibilityAfterExpansion
Indicates that an entity becomes eligible for a benefit, status, or condition only after a specified expansion, change, or extension has taken place.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b90f91248190ace1534a51b82bdd |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b7359eb881909c868a558861cc18 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.