Triple
T12534257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederiksberg Campus |
E299647
|
entity |
| Predicate | hosts |
P186
|
FINISHED |
| Object |
Department of Veterinary and Animal Sciences, University of Copenhagen
The Department of Veterinary and Animal Sciences at the University of Copenhagen is a leading academic and research institution focused on veterinary medicine, animal health, and related life sciences.
|
E988555
|
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: Department of Veterinary and Animal Sciences, University of Copenhagen | Statement: [Frederiksberg Campus, hosts, Department of Veterinary and Animal Sciences, University of Copenhagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Veterinary and Animal Sciences, University of Copenhagen Context triple: [Frederiksberg Campus, hosts, Department of Veterinary and Animal Sciences, University of Copenhagen]
-
A.
Department of Veterinary Medical Sciences
The Department of Veterinary Medical Sciences is an academic unit at the University of Tokyo specializing in education and research in veterinary medicine and related life sciences.
-
B.
Institute of Veterinary Medicine and Animal Sciences
The Institute of Veterinary Medicine and Animal Sciences is a faculty-level academic and research unit in Estonia specializing in veterinary science, animal health, and animal production within the Estonian University of Life Sciences.
-
C.
Royal Veterinary and Agricultural University
The Royal Veterinary and Agricultural University was a Danish higher education institution specializing in veterinary science and agricultural studies, later incorporated into the University of Copenhagen.
-
D.
Faculty of Veterinary and Animal Sciences
The Faculty of Veterinary and Animal Sciences is a specialized academic unit of the University of Chile dedicated to education, research, and professional training in veterinary medicine and animal science.
-
E.
Faculty of Veterinary and Animal Sciences
The Faculty of Veterinary and Animal Sciences is an academic division of the University of Rajshahi in Bangladesh that focuses on education and research in veterinary medicine and animal science.
- 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: Department of Veterinary and Animal Sciences, University of Copenhagen Triple: [Frederiksberg Campus, hosts, Department of Veterinary and Animal Sciences, University of Copenhagen]
Generated description
The Department of Veterinary and Animal Sciences at the University of Copenhagen is a leading academic and research institution focused on veterinary medicine, animal health, and related life sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Veterinary and Animal Sciences, University of Copenhagen Target entity description: The Department of Veterinary and Animal Sciences at the University of Copenhagen is a leading academic and research institution focused on veterinary medicine, animal health, and related life sciences.
-
A.
Department of Veterinary Medical Sciences
The Department of Veterinary Medical Sciences is an academic unit at the University of Tokyo specializing in education and research in veterinary medicine and related life sciences.
-
B.
Institute of Veterinary Medicine and Animal Sciences
The Institute of Veterinary Medicine and Animal Sciences is a faculty-level academic and research unit in Estonia specializing in veterinary science, animal health, and animal production within the Estonian University of Life Sciences.
-
C.
Royal Veterinary and Agricultural University
The Royal Veterinary and Agricultural University was a Danish higher education institution specializing in veterinary science and agricultural studies, later incorporated into the University of Copenhagen.
-
D.
Faculty of Veterinary and Animal Sciences
The Faculty of Veterinary and Animal Sciences is a specialized academic unit of the University of Chile dedicated to education, research, and professional training in veterinary medicine and animal science.
-
E.
Faculty of Veterinary and Animal Sciences
The Faculty of Veterinary and Animal Sciences is an academic division of the University of Rajshahi in Bangladesh that focuses on education and research in veterinary medicine and animal science.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546b8fd48190ae90e80785b2e2d1 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc9b9ec8190a25e2658d79836bc |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64da25bf88190889273bf41e2f154 |
completed | May 2, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65213ed84819086fda178aaf9e774 |
completed | May 2, 2026, 7:35 p.m. |
Created at: April 8, 2026, 9:57 p.m.