Triple
T22245358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plan C |
E549826
|
entity |
| Predicate | helpsCover |
P52868
|
FINISHED |
| Object | out-of-pocket costs not paid by Original Medicare |
—
|
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: out-of-pocket costs not paid by Original Medicare | Statement: [Plan C, helpsCover, out-of-pocket costs not paid by Original Medicare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsCover Context triple: [Plan C, helpsCover, out-of-pocket costs not paid by Original Medicare]
-
A.
mayCover
chosen
Indicates that one entity is permitted or able to extend over, include, or provide coverage for another entity, either partially or fully.
-
B.
typicallyCovers
Indicates that one entity is the kind of thing that usually or normally includes, addresses, or encompasses another entity.
-
C.
providesCoverage
Indicates that one entity supplies protection, insurance, or service coverage to another entity or for a specified risk or scope.
-
D.
guaranteeCoverage
Indicates that one party commits to providing financial or protective coverage for another party or specified situation.
-
E.
collectivelyCovers
Indicates that a group of entities, taken together, fully covers or accounts for a specified set, area, or scope.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13217c9f88190aa2ce7d644b57739 |
completed | April 28, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:38 p.m.