Triple
T1140957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medicare Part B |
E23447
|
entity |
| Predicate | requiresForMAEnrollment |
P23639
|
FINISHED |
| Object | enrollment in Medicare Part B |
—
|
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: enrollment in Medicare Part B | Statement: [Medicare Part B, requiresForMAEnrollment, enrollment in Medicare Part B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresForMAEnrollment Context triple: [Medicare Part B, requiresForMAEnrollment, enrollment in Medicare Part B]
-
A.
requiredBy
Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
-
B.
isMandatoryFor
chosen
Indicates that something is required or compulsory for another thing to occur, be valid, or be completed.
-
C.
hasMandate
Indicates that an entity is officially authorized or required to perform a specific role, action, or set of responsibilities.
-
D.
positionEligible
Indicates that an entity is qualified or permitted to hold or be assigned to a particular position or role.
-
E.
requiresSubscription
Indicates that access to or use of something is conditional on having an active subscription.
- 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.