Triple
T9457667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medicare Part A |
E228058
|
entity |
| Predicate | hasPremiumFreeOptionFor |
P31367
|
FINISHED |
| Object | most people with sufficient Medicare-covered work history |
—
|
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: most people with sufficient Medicare-covered work history | Statement: [Medicare Part A, hasPremiumFreeOptionFor, most people with sufficient Medicare-covered work history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPremiumFreeOptionFor Context triple: [Medicare Part A, hasPremiumFreeOptionFor, most people with sufficient Medicare-covered work history]
-
A.
hasAdFreeTier
Indicates that an entity offers a version of its service or product without advertisements.
-
B.
hasBasePlan
Indicates that an entity is associated with or derived from a specified foundational or default plan.
-
C.
hasPerformancePackage
Indicates that an entity is equipped with or associated with a specific performance-enhancing package or upgrade.
-
D.
isFreeOfCharge
chosen
Indicates that no payment or fee is required for the associated action, service, or item.
-
E.
hasFreeTransfer
Indicates that one entity allows or provides a transfer to another service, route, or segment without additional cost.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f90cf648190ab238ba6b4f03c4f |
completed | April 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69cca55caaa8819089c5138e014892d3 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:52 p.m.