Triple

T97364
Position Surface form Disambiguated ID Type / Status
Subject School of Clinical Medicine, University of Cambridge E1961 entity
Predicate hasDepartment P35 FINISHED
Object Department of Medicine, University of Cambridge
The Department of Medicine at the University of Cambridge is a major academic and clinical research department focused on advancing medical science and training healthcare professionals within the university’s School of Clinical Medicine.
E13169 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 Medicine, University of Cambridge | Statement: [School of Clinical Medicine, University of Cambridge, hasDepartment, Department of Medicine, University of Cambridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Medicine, University of Cambridge
Context triple: [School of Clinical Medicine, University of Cambridge, hasDepartment, Department of Medicine, 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. 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.
  • D. 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.
  • E. University of Edinburgh Medical School
    The University of Edinburgh Medical School is one of the world’s oldest and most prestigious medical schools, renowned for its influential contributions to medical education and research since the 18th century.
  • 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 Medicine, University of Cambridge
Triple: [School of Clinical Medicine, University of Cambridge, hasDepartment, Department of Medicine, University of Cambridge]
Generated description
The Department of Medicine at the University of Cambridge is a major academic and clinical research department focused on advancing medical science and training healthcare professionals within the university’s School of Clinical Medicine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Medicine, University of Cambridge
Target entity description: The Department of Medicine at the University of Cambridge is a major academic and clinical research department focused on advancing medical science and training healthcare professionals within the university’s School of Clinical Medicine.
  • 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. 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.
  • D. 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.
  • E. University of Edinburgh Medical School
    The University of Edinburgh Medical School is one of the world’s oldest and most prestigious medical schools, renowned for its influential contributions to medical education and research since the 18th century.
  • 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_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_69a2917a5a7081909f1c3ec53bc51dfb completed Feb. 28, 2026, 6:55 a.m.
NEDg Description generation batch_69a2940c5a448190a7f5f9a24cd13440 completed Feb. 28, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69a295d0d658819085a125015f087dfb completed Feb. 28, 2026, 7:14 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.