Triple

T13540251
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, University of Ruhuna E323363 entity
Predicate hasDepartment P35 FINISHED
Object Department of Pathology
The Department of Pathology is an academic and clinical unit within the Faculty of Medicine at the University of Ruhuna that focuses on the study, diagnosis, and teaching of disease processes.
E1046686 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 Pathology | Statement: [Faculty of Medicine, University of Ruhuna, hasDepartment, Department of Pathology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Pathology
Context triple: [Faculty of Medicine, University of Ruhuna, hasDepartment, Department of Pathology]
  • A. Department of Pathology
    The Department of Pathology is an academic and clinical unit within Cairo University's Faculty of Medicine that focuses on the study, diagnosis, and teaching of disease processes at the tissue and cellular levels.
  • B. Department of Pathology
    The Department of Pathology at the University Medical Center Göttingen is a medical and research unit specializing in the diagnosis of disease through the examination of tissues, organs, and bodily fluids, as well as in pathology-related teaching and scientific research.
  • C. Department of Pathology
    The Department of Pathology is an academic and clinical unit within the Li Ka Shing Faculty of Medicine that focuses on the study, diagnosis, and research of disease processes in human tissues and organs.
  • D. Department of Pathology
    The Department of Pathology at Johns Hopkins School of Medicine is a leading academic and clinical center specializing in the study, diagnosis, and research of human disease.
  • E. Department of Pathology
    The Department of Pathology at NYU Grossman School of Medicine is an academic and clinical department specializing in the study, diagnosis, and research of disease through laboratory and tissue-based analysis.
  • 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 Pathology
Triple: [Faculty of Medicine, University of Ruhuna, hasDepartment, Department of Pathology]
Generated description
The Department of Pathology is an academic and clinical unit within the Faculty of Medicine at the University of Ruhuna that focuses on the study, diagnosis, and teaching of disease processes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Pathology
Target entity description: The Department of Pathology is an academic and clinical unit within the Faculty of Medicine at the University of Ruhuna that focuses on the study, diagnosis, and teaching of disease processes.
  • A. Department of Pathology
    The Department of Pathology is an academic and clinical unit within the Li Ka Shing Faculty of Medicine that focuses on the study, diagnosis, and research of disease processes in human tissues and organs.
  • B. Department of Pathology
    The Department of Pathology is an academic and clinical unit within Cairo University's Faculty of Medicine that focuses on the study, diagnosis, and teaching of disease processes at the tissue and cellular levels.
  • C. Department of Pathology
    The Department of Pathology is an academic and clinical unit specializing in the study, diagnosis, and research of disease through laboratory analysis of tissues, organs, and bodily fluids.
  • D. Department of Pathology
    The Department of Pathology is an academic and clinical unit specializing in the study, diagnosis, and teaching of disease processes within the Medical College Jabalpur.
  • E. Department of Pathology
    The Department of Pathology at the Mahatma Gandhi Institute of Medical Sciences is an academic and diagnostic unit that studies disease mechanisms and provides laboratory services to support medical education, research, and patient care.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd7ad9481908fe1d7ffcf8fab71 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9eaff881909a3cd9e88bb4ec5e completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75e7d8970819092116ae7a769ac21 completed May 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69f75f35c6008190b88e14feddb93a1d completed May 3, 2026, 2:44 p.m.
Created at: April 9, 2026, 9:45 p.m.