Triple
T97366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Clinical Medicine, University of Cambridge |
E1961
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Oncology, University of Cambridge
The Department of Oncology at the University of Cambridge is a leading academic and research center focused on understanding, preventing, and treating cancer through basic, translational, and clinical research and education.
|
E7692
|
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 Oncology, University of Cambridge | Statement: [School of Clinical Medicine, University of Cambridge, hasDepartment, Department of Oncology, University of Cambridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Oncology, University of Cambridge Context triple: [School of Clinical Medicine, University of Cambridge, hasDepartment, Department of Oncology, University of Cambridge]
-
A.
School of Clinical Medicine, University of Cambridge
The School of Clinical Medicine at the University of Cambridge is the institution’s primary center for medical education, clinical training, and biomedical research.
-
B.
School of the Biological Sciences, University of Cambridge
The School of the Biological Sciences, University of Cambridge is a major academic division that encompasses the university’s teaching and research in areas such as biology, biochemistry, genetics, neuroscience, and related life sciences.
-
C.
Cancer Research UK Cambridge Institute (nearby on Cambridge Biomedical Campus)
Cancer Research UK Cambridge Institute is a major cancer research center in Cambridge that conducts cutting-edge basic and translational oncology research in close collaboration with clinical partners on the Cambridge Biomedical Campus.
-
D.
Cambridge University Hospitals NHS Foundation Trust
Cambridge University Hospitals NHS Foundation Trust is a major NHS teaching and research hospital group in Cambridge, England, that provides specialist and general healthcare services in partnership with the University of Cambridge.
-
E.
School of the Physical Sciences, University of Cambridge
The School of the Physical Sciences at the University of Cambridge is a major academic grouping that encompasses departments and research institutes focused on disciplines such as physics, chemistry, earth sciences, and related physical sciences.
- 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 Oncology, University of Cambridge Triple: [School of Clinical Medicine, University of Cambridge, hasDepartment, Department of Oncology, University of Cambridge]
Generated description
The Department of Oncology at the University of Cambridge is a leading academic and research center focused on understanding, preventing, and treating cancer through basic, translational, and clinical research and education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Oncology, University of Cambridge Target entity description: The Department of Oncology at the University of Cambridge is a leading academic and research center focused on understanding, preventing, and treating cancer through basic, translational, and clinical research and education.
-
A.
School of Clinical Medicine, University of Cambridge
The School of Clinical Medicine at the University of Cambridge is the institution’s primary center for medical education, clinical training, and biomedical research.
-
B.
School of the Biological Sciences, University of Cambridge
The School of the Biological Sciences, University of Cambridge is a major academic division that encompasses the university’s teaching and research in areas such as biology, biochemistry, genetics, neuroscience, and related life sciences.
-
C.
Cancer Research UK Cambridge Institute (nearby on Cambridge Biomedical Campus)
chosen
Cancer Research UK Cambridge Institute is a major cancer research center in Cambridge that conducts cutting-edge basic and translational oncology research in close collaboration with clinical partners on the Cambridge Biomedical Campus.
-
D.
Cambridge University Hospitals NHS Foundation Trust
Cambridge University Hospitals NHS Foundation Trust is a major NHS teaching and research hospital group in Cambridge, England, that provides specialist and general healthcare services in partnership with the University of Cambridge.
-
E.
School of the Physical Sciences, University of Cambridge
The School of the Physical Sciences at the University of Cambridge is a major academic grouping that encompasses departments and research institutes focused on disciplines such as physics, chemistry, earth sciences, and related physical sciences.
- F. None of above.
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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24feef1b08190bb9525f71cce053e |
completed | Feb. 28, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a284fd52f08190b264937658192e79 |
completed | Feb. 28, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_69a289412840819099a731a601d923e2 |
completed | Feb. 28, 2026, 6:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2900e6b908190b048ab21595172a5 |
completed | Feb. 28, 2026, 6:49 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.