Triple
T8541472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Veterinary Medicine, University of Nairobi |
E202205
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
Department of Veterinary Pathology, Microbiology and Parasitology
The Department of Veterinary Pathology, Microbiology and Parasitology is an academic and research unit specializing in animal disease diagnosis, infectious agents, and parasites within the veterinary sciences.
|
E741154
|
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 Pathology, Microbiology and Parasitology | Statement: [Faculty of Veterinary Medicine, University of Nairobi, hasUnit, Department of Veterinary Pathology, Microbiology and Parasitology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Veterinary Pathology, Microbiology and Parasitology Context triple: [Faculty of Veterinary Medicine, University of Nairobi, hasUnit, Department of Veterinary Pathology, Microbiology and Parasitology]
-
A.
Veterinary Pathology Unit
The Veterinary Pathology Unit is a specialized department within the Royal (Dick) School of Veterinary Studies that focuses on diagnosing animal diseases and supporting veterinary research and education through pathology services.
-
B.
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.
-
C.
Department of Veterinary Medicine
The Department of Veterinary Medicine is the veterinary science faculty of the Free University of Berlin, dedicated to education and research in animal health and related biomedical fields.
-
D.
Department of Parasitology
The Department of Parasitology is an academic and research unit within Cairo University's Faculty of Medicine that focuses on the study, diagnosis, and control of parasitic diseases affecting humans.
-
E.
Department of Hygiene and Zoonoses
The Department of Hygiene and Zoonoses is an academic unit within Cairo University's Faculty of Veterinary Medicine that focuses on the study, prevention, and control of diseases transmitted between animals and humans and on public health hygiene.
- 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 Pathology, Microbiology and Parasitology Triple: [Faculty of Veterinary Medicine, University of Nairobi, hasUnit, Department of Veterinary Pathology, Microbiology and Parasitology]
Generated description
The Department of Veterinary Pathology, Microbiology and Parasitology is an academic and research unit specializing in animal disease diagnosis, infectious agents, and parasites within the veterinary sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Veterinary Pathology, Microbiology and Parasitology Target entity description: The Department of Veterinary Pathology, Microbiology and Parasitology is an academic and research unit specializing in animal disease diagnosis, infectious agents, and parasites within the veterinary sciences.
-
A.
Veterinary Pathology Unit
The Veterinary Pathology Unit is a specialized department within the Royal (Dick) School of Veterinary Studies that focuses on diagnosing animal diseases and supporting veterinary research and education through pathology services.
-
B.
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.
-
C.
Department of Veterinary Medicine
The Department of Veterinary Medicine is the veterinary science faculty of the Free University of Berlin, dedicated to education and research in animal health and related biomedical fields.
-
D.
Department of Parasitology
The Department of Parasitology is an academic and research unit within Cairo University's Faculty of Medicine that focuses on the study, diagnosis, and control of parasitic diseases affecting humans.
-
E.
Department of Hygiene and Zoonoses
The Department of Hygiene and Zoonoses is an academic unit within Cairo University's Faculty of Veterinary Medicine that focuses on the study, prevention, and control of diseases transmitted between animals and humans and on public health hygiene.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e10bc081909a7210c577b807fb |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6da3d65c819087ed6b46dfc35885 |
completed | April 2, 2026, 1:22 p.m. |
| NEDg | Description generation | batch_69ce6ec3b080819082d64646d453541d |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe928d48190824e7a94fea5cfc0 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:18 p.m.