Triple
T29324650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian National Health Service |
E743607
|
entity |
| Predicate | coPayment |
P116450
|
FINISHED |
| Object | ticket system for some services and drugs |
—
|
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: ticket system for some services and drugs | Statement: [Italian National Health Service, coPayment, ticket system for some services and drugs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coPayment Context triple: [Italian National Health Service, coPayment, ticket system for some services and drugs]
-
A.
paymentAmount
Indicates the specific monetary value involved in a payment transaction between parties.
-
B.
chargesWere
Indicates that specific accusations or legal charges existed or were formally brought against an entity at some point in time.
-
C.
pointsPaying
Indicates that one entity is paying or settling an obligation to another entity using points (such as reward or loyalty points) as the form of payment.
-
D.
feePaidIn
Indicates that a specified fee has been paid in a particular currency or payment medium.
-
E.
costSharing
chosen
Indicates how the financial burden of a cost is divided or shared among multiple parties.
- 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f66894ce4c8190b1104ea889b98a8e |
completed | May 2, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:25 p.m.