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.