Triple
T28104510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johns Hopkins Community Physicians |
E710324
|
entity |
| Predicate | usesModelOfCare |
P71982
|
FINISHED |
| Object | patient-centered medical home |
—
|
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: patient-centered medical home | Statement: [Johns Hopkins Community Physicians, usesModelOfCare, patient-centered medical home]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesModelOfCare Context triple: [Johns Hopkins Community Physicians, usesModelOfCare, patient-centered medical home]
-
A.
hasCareModel
chosen
Indicates that one entity uses, follows, or is governed by a particular model or approach to providing care.
-
B.
usesManagementModel
Indicates that one entity applies, follows, or operates according to a particular management model in its management practices or structure.
-
C.
careApproach
Indicates the method, strategy, or manner in which care or support is provided to someone or something.
-
D.
useOfModel
Indicates that one entity employs, applies, or relies on a particular model for a specific purpose or task.
-
E.
usesModelsType
Indicates that one entity employs or relies on a specific type or category of models in its operation or behavior.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 27, 2026, 9:07 p.m.