Triple
T13636119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yale School of Nursing |
E325852
|
entity |
| Predicate | offersTrack |
P178
|
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: [Yale School of Nursing, offersTrack, family nurse practitioner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersTrack Context triple: [Yale School of Nursing, offersTrack, family nurse practitioner]
-
A.
offersFeature
Indicates that one entity provides or makes available a particular feature or capability to another entity.
-
B.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
C.
offersProgram
chosen
Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
-
D.
offersObject
Indicates that a subject provides or makes available a specific object to another party as an offer.
-
E.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.