Triple
T9101833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medicare (Canada) |
E218376
|
entity |
| Predicate | paymentAtPointOfCare |
P87157
|
FINISHED |
| Object | no direct charge for insured 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: no direct charge for insured services | Statement: [Medicare (Canada), paymentAtPointOfCare, no direct charge for insured services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paymentAtPointOfCare Context triple: [Medicare (Canada), paymentAtPointOfCare, no direct charge for insured services]
-
A.
paymentServices
Indicates that one entity provides or facilitates payment-related services or processing for another entity.
-
B.
paySystem
Indicates that one entity provides monetary or other compensation to another entity through a particular method, platform, or mechanism.
-
C.
paymentMethod
Indicates the means or instrument through which a payment is made in a transaction.
-
D.
payType
Indicates the method or category of payment used in a transaction or compensation arrangement.
-
E.
chargesVia
Indicates that one entity charges or powers another entity using a specified medium, method, or interface.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc971435d08190b5007ed44ac0a364 |
completed | April 1, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:15 p.m.