Triple
T1140944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medicare Part B |
E23447
|
entity |
| Predicate | enrollmentPeriod |
P16413
|
FINISHED |
| Object | Initial Enrollment Period |
—
|
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: Initial Enrollment Period | Statement: [Medicare Part B, enrollmentPeriod, Initial Enrollment Period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enrollmentPeriod Context triple: [Medicare Part B, enrollmentPeriod, Initial Enrollment Period]
-
A.
eligibilityPeriod
chosen
Indicates the span of time during which an entity qualifies for or is allowed to receive a particular benefit, service, or status.
-
B.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
-
C.
enrollmentModel
Indicates the type or structure of the enrollment relationship that governs how entities (such as users or participants) are registered or associated with a program, course, or service.
-
D.
reorganizationPeriod
Indicates the time span during which a structural or organizational change is planned, underway, or in effect.
-
E.
validityPeriodForAdults
Indicates the time span during which something is considered valid or applicable specifically for adults.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bde18d208190848c189b2b8d585f |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4b52d48190bec2e7ad1cc8efc0 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.