Triple
T11359261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanderbilt University School of Nursing |
E269039
|
entity |
| Predicate | offersRolePreparation |
P49795
|
FINISHED |
| Object | family nurse practitioner |
—
|
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: family nurse practitioner | Statement: [Vanderbilt University School of Nursing, offersRolePreparation, family nurse practitioner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersRolePreparation Context triple: [Vanderbilt University School of Nursing, offersRolePreparation, family nurse practitioner]
-
A.
offersPreparationFor
chosen
Indicates that one entity provides training, resources, or support intended to ready another entity for a specific task, role, event, or condition.
-
B.
preparatoryRole
Indicates that one entity performs a function or activity that serves as preparation or groundwork for another entity, event, or process.
-
C.
preparesFor
Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
-
D.
offersCertificationPreparationFor
Indicates that an entity provides training or resources specifically designed to prepare individuals for obtaining a particular certification.
-
E.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.