Triple
T33115130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DVM |
E847439
|
entity |
| Predicate | professionalRoleAfterCompletion |
P9145
|
FINISHED |
| Object | clinical veterinary practice |
—
|
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: clinical veterinary practice | Statement: [DVM, professionalRoleAfterCompletion, clinical veterinary practice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalRoleAfterCompletion Context triple: [DVM, professionalRoleAfterCompletion, clinical veterinary practice]
-
A.
professionalTitleAfterCompletion
chosen
Indicates that an entity is granted or holds a specific professional title as a result of successfully completing a particular program, course, or qualification.
-
B.
namedAfterOccupationOrRole
Indicates that an entity is named after a specific occupation, profession, or social role associated with a person or group.
-
C.
professionalizationRole
Indicates that an entity plays a role in the process of making an occupation, activity, or field more professional or formally structured.
-
D.
roleAfterRetirement
Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
-
E.
employedAfter
Indicates that one entity became employed by another entity at a point in time later than a referenced employment event or period.
- 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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:27 a.m.