Triple
T5765681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medicare Part D |
E127207
|
entity |
| Predicate | planTypesInclude |
P5640
|
FINISHED |
| Object | stand-alone prescription drug plans |
—
|
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: stand-alone prescription drug plans | Statement: [Medicare Part D, planTypesInclude, stand-alone prescription drug plans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: planTypesInclude Context triple: [Medicare Part D, planTypesInclude, stand-alone prescription drug plans]
-
A.
planType
Indicates the specific category or kind of plan associated with an entity, such as its level, structure, or intended use.
-
B.
offersPlanType
chosen
Indicates that one entity provides or makes available a specific type of plan to another entity or in a given context.
-
C.
includesAreaType
Indicates that one entity encompasses or contains another entity of a specified area type within its scope or boundaries.
-
D.
programCostType
Indicates the type or category of cost associated with a program.
-
E.
includesFundType
Indicates that one entity contains or encompasses a particular type or category of fund within its scope or structure.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021ce8d3c81909b332cb1c33a61ad |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.