Triple
T23599170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish National Health System |
E582701
|
entity |
| Predicate | userCharges |
P5902
|
FINISHED |
| Object | limited co-payments for pharmaceuticals |
—
|
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: limited co-payments for pharmaceuticals | Statement: [Spanish National Health System, userCharges, limited co-payments for pharmaceuticals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: userCharges Context triple: [Spanish National Health System, userCharges, limited co-payments for pharmaceuticals]
-
A.
featuresCharge
Indicates that one entity includes, offers, or is characterized by a particular charge (such as a fee, cost, or pricing component).
-
B.
chargesWere
Indicates that specific accusations or legal charges existed or were formally brought against an entity at some point in time.
-
C.
chargesBasedOn
Indicates that one party determines or applies a fee, price, or cost to another party or item according to a specified basis, criterion, or reference.
-
D.
costToUser
chosen
Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
-
E.
chargesFeeFor
Indicates that one entity requires payment of a fee from another entity in exchange for a specific service, product, or privilege.
- 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0929c548190bb42621d1131d87f |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:43 p.m.