Triple
T5868105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medigap policies |
E130445
|
entity |
| Predicate | premiumsPaidBy |
P12961
|
FINISHED |
| Object | beneficiary |
—
|
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: beneficiary | Statement: [Medigap policies, premiumsPaidBy, beneficiary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premiumsPaidBy Context triple: [Medigap policies, premiumsPaidBy, beneficiary]
-
A.
paidBy
chosen
Indicates that a payment or financial obligation is made or settled by the specified entity.
-
B.
revenuePaidTo
Indicates that a specified amount of revenue is paid or transferred from one entity to another as a recipient.
-
C.
paidFor
Indicates that one entity provided payment to cover the cost of something on behalf of another entity.
-
D.
payerType
Indicates the type or category of entity responsible for making a payment in the relationship.
-
E.
pays
Indicates that one entity gives money or another form of compensation to another entity, typically in exchange for goods, services, or to settle a debt.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ffaef081909faaa7f420a3b9b7 |
completed | March 22, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69c03347e51c81909053bcf34e3b88ab |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:56 p.m.