Triple

T438186
Position Surface form Disambiguated ID Type / Status
Subject School of the Biological Sciences, University of Cambridge E10055 entity
Predicate hasPart P35 FINISHED
Object Department of Veterinary Medicine, University of Cambridge
The Department of Veterinary Medicine at the University of Cambridge is a leading UK centre for veterinary education, clinical services, and research in animal health and disease.
E55789 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 Veterinary Medicine, University of Cambridge | Statement: [School of the Biological Sciences, University of Cambridge, hasPart, Department of Veterinary Medicine, University of Cambridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Veterinary Medicine, University of Cambridge
Context triple: [School of the Biological Sciences, University of Cambridge, hasPart, Department of Veterinary 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. 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.
  • C. School of Veterinary Medicine & Biomedical Sciences
    The School of Veterinary Medicine & Biomedical Sciences is Texas A&M University's veterinary and biomedical education, research, and clinical care institution.
  • D. Department of Clinical Biochemistry, University of Cambridge
    The Department of Clinical Biochemistry at the University of Cambridge is an academic and research unit specializing in the biochemical basis of disease, diagnostics, and translational medicine within the clinical sciences.
  • E. 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.
  • 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 Veterinary Medicine, University of Cambridge
Triple: [School of the Biological Sciences, University of Cambridge, hasPart, Department of Veterinary Medicine, University of Cambridge]
Generated description
The Department of Veterinary Medicine at the University of Cambridge is a leading UK centre for veterinary education, clinical services, and research in animal health and disease.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Veterinary Medicine, University of Cambridge
Target entity description: The Department of Veterinary Medicine at the University of Cambridge is a leading UK centre for veterinary education, clinical services, and research in animal health and disease.
  • 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. 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.
  • C. School of Veterinary Medicine & Biomedical Sciences
    The School of Veterinary Medicine & Biomedical Sciences is Texas A&M University's veterinary and biomedical education, research, and clinical care institution.
  • D. Department of Clinical Biochemistry, University of Cambridge
    The Department of Clinical Biochemistry at the University of Cambridge is an academic and research unit specializing in the biochemical basis of disease, diagnostics, and translational medicine within the clinical sciences.
  • E. 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.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef26bb78819089b3b5dac0330619 completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43e706fd8819082dd795fcad5465c completed March 1, 2026, 1:26 p.m.
NEDg Description generation batch_69a43f465f608190a5a57c58bdb30538 completed March 1, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_69a4409efb1081909583cba0e6657f3e completed March 1, 2026, 1:35 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.