Triple
T7031186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Health Center Program |
E163273
|
entity |
| Predicate | payerMix |
P74563
|
FINISHED |
| Object | Medicaid patients |
—
|
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: Medicaid patients | Statement: [Health Center Program, payerMix, Medicaid patients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: payerMix Context triple: [Health Center Program, payerMix, Medicaid patients]
-
A.
payerType
Indicates the type or category of entity responsible for making a payment in the relationship.
-
B.
paidBy
Indicates that a payment or financial obligation is made or settled by the specified entity.
-
C.
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.
-
D.
previouslyPaidTo
Indicates that a payment was made in the past from one entity to another.
-
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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:35 p.m.