Triple
T5027797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Veterinary Medicine (University of Florida) |
E113218
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object |
Association of American Veterinary Medical Colleges
The Association of American Veterinary Medical Colleges is a nonprofit organization that represents and supports accredited veterinary medical colleges and schools, advancing veterinary education, research, and academic standards across North America and beyond.
|
E487722
|
NE FINISHED |
How this triple was built (4 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: Association of American Veterinary Medical Colleges | Statement: [College of Veterinary Medicine (University of Florida), affiliatedWith, Association of American Veterinary Medical Colleges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Association of American Veterinary Medical Colleges Context triple: [College of Veterinary Medicine (University of Florida), affiliatedWith, Association of American Veterinary Medical Colleges]
-
A.
American Veterinary Medical Association Council on Education
The American Veterinary Medical Association Council on Education is the accrediting body responsible for evaluating and approving veterinary medical education programs in the United States and internationally.
-
B.
European Association of Establishments for Veterinary Education
The European Association of Establishments for Veterinary Education (EAEVE) is the main European accrediting and quality assurance body for veterinary education institutions, ensuring they meet agreed professional and educational standards.
-
C.
Virginia-Maryland College of Veterinary Medicine
The Virginia-Maryland College of Veterinary Medicine is a regional veterinary school jointly operated by Virginia Tech and the University of Maryland, offering veterinary education, research, and clinical services.
-
D.
Royal College of Veterinary Surgeons
The Royal College of Veterinary Surgeons is the professional regulatory body for veterinary surgeons and veterinary nurses in the United Kingdom, responsible for setting standards of education, conduct, and practice.
-
E.
Western College of Veterinary Medicine
The Western College of Veterinary Medicine is a leading Canadian veterinary school based at the University of Saskatchewan, providing education, research, and clinical services in animal health.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Association of American Veterinary Medical Colleges Triple: [College of Veterinary Medicine (University of Florida), affiliatedWith, Association of American Veterinary Medical Colleges]
Generated description
The Association of American Veterinary Medical Colleges is a nonprofit organization that represents and supports accredited veterinary medical colleges and schools, advancing veterinary education, research, and academic standards across North America and beyond.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Association of American Veterinary Medical Colleges Target entity description: The Association of American Veterinary Medical Colleges is a nonprofit organization that represents and supports accredited veterinary medical colleges and schools, advancing veterinary education, research, and academic standards across North America and beyond.
-
A.
American Veterinary Medical Association Council on Education
The American Veterinary Medical Association Council on Education is the accrediting body responsible for evaluating and approving veterinary medical education programs in the United States and internationally.
-
B.
European Association of Establishments for Veterinary Education
The European Association of Establishments for Veterinary Education (EAEVE) is the main European accrediting and quality assurance body for veterinary education institutions, ensuring they meet agreed professional and educational standards.
-
C.
Virginia-Maryland College of Veterinary Medicine
The Virginia-Maryland College of Veterinary Medicine is a regional veterinary school jointly operated by Virginia Tech and the University of Maryland, offering veterinary education, research, and clinical services.
-
D.
Royal College of Veterinary Surgeons
The Royal College of Veterinary Surgeons is the professional regulatory body for veterinary surgeons and veterinary nurses in the United Kingdom, responsible for setting standards of education, conduct, and practice.
-
E.
Western College of Veterinary Medicine
The Western College of Veterinary Medicine is a leading Canadian veterinary school based at the University of Saskatchewan, providing education, research, and clinical services in animal health.
- F. None of above. chosen
Provenance (5 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738d852c8190a122354f1e1f5343 |
completed | March 20, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c64db5c81909224c82ae9d9e0ab |
completed | March 21, 2026, 1:25 p.m. |
| NEDg | Description generation | batch_69be9ce7959081908b9ddb4c677c477c |
completed | March 21, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9d7e00f88190b2d12e872fadc181 |
completed | March 21, 2026, 1:30 p.m. |
Created at: March 20, 2026, 1:36 p.m.