Triple
T16875128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor of Nursing Practice |
E421278
|
entity |
| Predicate | mayIncludeTrack |
P3284
|
FINISHED |
| Object | post-baccalaureate DNP |
—
|
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: post-baccalaureate DNP | Statement: [Doctor of Nursing Practice, mayIncludeTrack, post-baccalaureate DNP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayIncludeTrack Context triple: [Doctor of Nursing Practice, mayIncludeTrack, post-baccalaureate DNP]
-
A.
containsAdditionalTracksBeyond
Indicates that one entity includes more tracks or items than are present in another referenced set or version.
-
B.
includesOriginalTrack
Indicates that one entity (such as a release, edition, or version) contains or retains the original track as part of its contents.
-
C.
hasTrack
chosen
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
D.
includesReworkedTrack
Indicates that one entity (such as an album, release, or collection) contains a track that is a revised, remixed, or otherwise reworked version of an original track.
-
E.
nonSingleTrack
Indicates that the subject is associated with more than one track or path, rather than being limited to a single track.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f5290481909e0fd0af30935fcd |
completed | April 18, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.