Triple
T5929254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medicare trust funds |
E131893
|
entity |
| Predicate | disburses |
P66766
|
FINISHED |
| Object | payments for Medicare-covered services |
—
|
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: payments for Medicare-covered services | Statement: [Medicare trust funds, disburses, payments for Medicare-covered services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disburses Context triple: [Medicare trust funds, disburses, payments for Medicare-covered services]
-
A.
disbursementOption
Indicates the method or arrangement by which funds are paid out or distributed.
-
B.
dischargeContribution
Indicates that one party fulfills or settles an owed contribution, obligation, or share toward another party or collective.
-
C.
deposes
Indicates the action by which one party forcibly removes another from a position of power or authority.
-
D.
deposited
Indicates that an entity has placed or put something into another entity, typically transferring it into a container, location, or account.
-
E.
withdrawn
Indicates that an entity has removed or taken back a previously offered, submitted, or available item, action, or commitment.
- F. None of above. chosen
Provenance (4 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03c8d579081909d7b97fc9014b5d7 |
completed | March 22, 2026, 7:01 p.m. |
Created at: March 22, 2026, 4 p.m.