Triple
T1860982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graduate School of Frontier Sciences |
E34809
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Computational Biology and Medical Sciences
The Department of Computational Biology and Medical Sciences is an academic unit specializing in the integration of computational methods with biological and medical research to advance understanding of complex life and health systems.
|
E207944
|
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 Computational Biology and Medical Sciences | Statement: [Graduate School of Frontier Sciences, hasDepartment, Department of Computational Biology and Medical Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computational Biology and Medical Sciences Context triple: [Graduate School of Frontier Sciences, hasDepartment, Department of Computational Biology and Medical Sciences]
-
A.
Computational Biology Department, Carnegie Mellon University
The Computational Biology Department at Carnegie Mellon University is an academic unit specializing in research and education at the intersection of computer science, biology, and related quantitative disciplines.
-
B.
Department of Medical Informatics
The Department of Medical Informatics is an academic unit at the University of Tokyo’s Faculty of Medicine that focuses on the research and education of information technologies and data science in healthcare and medical practice.
-
C.
Department of Biochemistry
The Department of Biochemistry is an academic unit within the University of Havana’s Faculty of Chemistry dedicated to teaching and research on the chemical processes underlying biological systems.
-
D.
Department of Biochemistry
The Department of Biochemistry is an academic unit within Cairo University's Faculty of Medicine that focuses on teaching and research in the chemical processes underlying human health and disease.
-
E.
Department of Biochemistry
The Department of Biochemistry at Quaid-i-Azam University is an academic and research unit focused on the molecular and chemical processes underlying biological systems.
- 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 Computational Biology and Medical Sciences Triple: [Graduate School of Frontier Sciences, hasDepartment, Department of Computational Biology and Medical Sciences]
Generated description
The Department of Computational Biology and Medical Sciences is an academic unit specializing in the integration of computational methods with biological and medical research to advance understanding of complex life and health systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Computational Biology and Medical Sciences Target entity description: The Department of Computational Biology and Medical Sciences is an academic unit specializing in the integration of computational methods with biological and medical research to advance understanding of complex life and health systems.
-
A.
Computational Biology Department, Carnegie Mellon University
The Computational Biology Department at Carnegie Mellon University is an academic unit specializing in research and education at the intersection of computer science, biology, and related quantitative disciplines.
-
B.
Department of Medical Informatics
The Department of Medical Informatics is an academic unit at the University of Tokyo’s Faculty of Medicine that focuses on the research and education of information technologies and data science in healthcare and medical practice.
-
C.
Department of Biochemistry
The Department of Biochemistry is an academic unit within Cairo University's Faculty of Medicine that focuses on teaching and research in the chemical processes underlying human health and disease.
-
D.
Department of Biochemistry
The Department of Biochemistry is an academic unit within the University of Havana’s Faculty of Chemistry dedicated to teaching and research on the chemical processes underlying biological systems.
-
E.
Department of Biochemistry
The Department of Biochemistry at Quaid-i-Azam University is an academic and research unit focused on the molecular and chemical processes underlying biological systems.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb09caee881908efe8aa38471298c |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1d026748190a507872de85c908d |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add2729498819082f6595c57f545a8 |
completed | March 8, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add32c32b08190be6624eefa2fa386 |
completed | March 8, 2026, 7:51 p.m. |
Created at: March 4, 2026, 7:34 p.m.