Triple
T13540250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine, University of Ruhuna |
E323363
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Forensic Medicine
The Department of Forensic Medicine is an academic and clinical unit specializing in the application of medical science to legal investigations, including autopsy practice, injury interpretation, and medico-legal education and research.
|
E1046685
|
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 Forensic Medicine | Statement: [Faculty of Medicine, University of Ruhuna, hasDepartment, Department of Forensic Medicine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Forensic Medicine Context triple: [Faculty of Medicine, University of Ruhuna, hasDepartment, Department of Forensic Medicine]
-
A.
School of Forensic Medicine
The School of Forensic Medicine is a specialized academic unit of Chongqing Medical University focused on education and research in forensic science and legal medicine.
-
B.
Department of Biomedical and Forensic Sciences
The Department of Biomedical and Forensic Sciences is an academic unit specializing in the study and research of biomedical science and forensic investigation within Anglia Ruskin University’s Faculty of Science and Engineering.
-
C.
Division of Forensic Sciences
The Division of Forensic Sciences is the forensic laboratory arm of the Georgia Bureau of Investigation, providing scientific analysis and expert testimony to support criminal investigations and prosecutions in the state of Georgia.
-
D.
Forensic Science Department
The Forensic Science Department is a specialized unit of the International Commission on Missing Persons that applies advanced scientific methods to identify missing persons and analyze human remains in post-conflict and disaster contexts.
-
E.
Forensic Science Department
The Forensic Science Department of Dubai Police is a specialized unit responsible for applying scientific methods and technologies to investigate crimes, analyze evidence, and support law enforcement operations in Dubai.
- 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 Forensic Medicine Triple: [Faculty of Medicine, University of Ruhuna, hasDepartment, Department of Forensic Medicine]
Generated description
The Department of Forensic Medicine is an academic and clinical unit specializing in the application of medical science to legal investigations, including autopsy practice, injury interpretation, and medico-legal education and research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Forensic Medicine Target entity description: The Department of Forensic Medicine is an academic and clinical unit specializing in the application of medical science to legal investigations, including autopsy practice, injury interpretation, and medico-legal education and research.
-
A.
School of Forensic Medicine
The School of Forensic Medicine is a specialized academic unit of Chongqing Medical University focused on education and research in forensic science and legal medicine.
-
B.
Department of Biomedical and Forensic Sciences
The Department of Biomedical and Forensic Sciences is an academic unit specializing in the study and research of biomedical science and forensic investigation within Anglia Ruskin University’s Faculty of Science and Engineering.
-
C.
Division of Forensic Sciences
The Division of Forensic Sciences is the forensic laboratory arm of the Georgia Bureau of Investigation, providing scientific analysis and expert testimony to support criminal investigations and prosecutions in the state of Georgia.
-
D.
Forensic Science Department
The Forensic Science Department is a specialized unit of the International Commission on Missing Persons that applies advanced scientific methods to identify missing persons and analyze human remains in post-conflict and disaster contexts.
-
E.
Forensic Science Department
The Forensic Science Department of Dubai Police is a specialized unit responsible for applying scientific methods and technologies to investigate crimes, analyze evidence, and support law enforcement operations in Dubai.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd7ad9481908fe1d7ffcf8fab71 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9eaff881909a3cd9e88bb4ec5e |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75e7d8970819092116ae7a769ac21 |
completed | May 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f35c6008190b88e14feddb93a1d |
completed | May 3, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:45 p.m.