Triple
T6409615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine, University of British Columbia |
E127670
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Pathology and Laboratory Medicine
The Department of Pathology and Laboratory Medicine is an academic and clinical department at the University of British Columbia’s Faculty of Medicine that focuses on the study, diagnosis, and research of disease through laboratory-based investigation.
|
E590683
|
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 Pathology and Laboratory Medicine | Statement: [Faculty of Medicine, University of British Columbia, hasDepartment, Department of Pathology and Laboratory Medicine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Pathology and Laboratory Medicine Context triple: [Faculty of Medicine, University of British Columbia, hasDepartment, Department of Pathology and Laboratory Medicine]
-
A.
Department of Pathology and Laboratory Medicine
The Department of Pathology and Laboratory Medicine is an academic medical department at the UNC School of Medicine that focuses on diagnosing disease, advancing pathology research, and training future clinicians and scientists.
-
B.
Department of Pathology
The Department of Pathology is an academic and clinical unit within Cairo University's Faculty of Medicine that focuses on the study, diagnosis, and teaching of disease processes at the tissue and cellular levels.
-
C.
Department of Pathology
The Department of Pathology at the University Medical Center Göttingen is a medical and research unit specializing in the diagnosis of disease through the examination of tissues, organs, and bodily fluids, as well as in pathology-related teaching and scientific research.
-
D.
Department of Pathology
The Department of Pathology at Johns Hopkins School of Medicine is a leading academic and clinical center specializing in the study, diagnosis, and research of human disease.
-
E.
Department of Pathology
The Department of Pathology at Tohoku University's Faculty of Medicine is an academic unit specializing in the study, diagnosis, and research of disease mechanisms at the tissue, cellular, and molecular levels.
- 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 Pathology and Laboratory Medicine Triple: [Faculty of Medicine, University of British Columbia, hasDepartment, Department of Pathology and Laboratory Medicine]
Generated description
The Department of Pathology and Laboratory Medicine is an academic and clinical department at the University of British Columbia’s Faculty of Medicine that focuses on the study, diagnosis, and research of disease through laboratory-based investigation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Pathology and Laboratory Medicine Target entity description: The Department of Pathology and Laboratory Medicine is an academic and clinical department at the University of British Columbia’s Faculty of Medicine that focuses on the study, diagnosis, and research of disease through laboratory-based investigation.
-
A.
Department of Pathology and Laboratory Medicine
The Department of Pathology and Laboratory Medicine is an academic medical department at the UNC School of Medicine that focuses on diagnosing disease, advancing pathology research, and training future clinicians and scientists.
-
B.
Department of Pathology
The Department of Pathology is an academic and clinical unit within Cairo University's Faculty of Medicine that focuses on the study, diagnosis, and teaching of disease processes at the tissue and cellular levels.
-
C.
Department of Pathology
The Department of Pathology at the University Medical Center Göttingen is a medical and research unit specializing in the diagnosis of disease through the examination of tissues, organs, and bodily fluids, as well as in pathology-related teaching and scientific research.
-
D.
Department of Pathology
The Department of Pathology at Johns Hopkins School of Medicine is a leading academic and clinical center specializing in the study, diagnosis, and research of human disease.
-
E.
Department of Pathology
The Department of Pathology at Tohoku University's Faculty of Medicine is an academic unit specializing in the study, diagnosis, and research of disease mechanisms at the tissue, cellular, and molecular levels.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cdf25881908d42a5d979637ad6 |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638b7582481909640965acf261dff |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c63b74688881909bb41db1ec89daf6 |
completed | March 27, 2026, 8:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63be025c88190b24cf4168b8194a0 |
completed | March 27, 2026, 8:12 a.m. |
Created at: March 22, 2026, 4:41 p.m.