Triple

T12722116
Position Surface form Disambiguated ID Type / Status
Subject Uppsala University Hospital E304010 entity
Predicate hasDepartment P35 FINISHED
Object Department of Clinical Chemistry
The Department of Clinical Chemistry is a medical laboratory unit at Uppsala University Hospital that specializes in analyzing biological samples to support diagnosis, treatment monitoring, and research.
E999720 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 Clinical Chemistry | Statement: [Uppsala University Hospital, hasDepartment, Department of Clinical Chemistry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Clinical Chemistry
Context triple: [Uppsala University Hospital, hasDepartment, Department of Clinical Chemistry]
  • A. Department of Chemical Pathology
    The Department of Chemical Pathology is an academic and clinical department at the Chinese University of Hong Kong’s Faculty of Medicine specializing in the study, diagnosis, and research of diseases through biochemical and molecular analyses of body fluids.
  • B. Department of Biochemistry
    The Department of Biochemistry is an academic unit specializing in the study and teaching of biochemical processes within the Faculty of Pharmacy at Ain Shams University.
  • C. Department of Biochemistry
    The Department of Biochemistry is an academic unit within Cairo University's Faculty of Medicine that focuses on teaching and research in the chemical processes underlying human health and disease.
  • D. Department of Biochemistry
    The Department of Biochemistry is an academic unit within the University of Havana’s Faculty of Chemistry dedicated to teaching and research on the chemical processes underlying biological systems.
  • E. Department of Biochemistry
    The Department of Biochemistry is an academic unit within Tohoku University's Faculty of Medicine that focuses on research and education in the molecular and chemical processes underlying biological and medical phenomena.
  • 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 Clinical Chemistry
Triple: [Uppsala University Hospital, hasDepartment, Department of Clinical Chemistry]
Generated description
The Department of Clinical Chemistry is a medical laboratory unit at Uppsala University Hospital that specializes in analyzing biological samples to support diagnosis, treatment monitoring, and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Clinical Chemistry
Target entity description: The Department of Clinical Chemistry is a medical laboratory unit at Uppsala University Hospital that specializes in analyzing biological samples to support diagnosis, treatment monitoring, and research.
  • A. Department of Chemical Pathology
    The Department of Chemical Pathology is an academic and clinical department at the Chinese University of Hong Kong’s Faculty of Medicine specializing in the study, diagnosis, and research of diseases through biochemical and molecular analyses of body fluids.
  • B. Department of Biochemistry
    The Department of Biochemistry is an academic unit specializing in the study and teaching of biochemical processes within the Faculty of Pharmacy at Ain Shams University.
  • C. Department of Biochemistry
    The Department of Biochemistry is an academic unit within Cairo University's Faculty of Medicine that focuses on teaching and research in the chemical processes underlying human health and disease.
  • D. Department of Biochemistry
    The Department of Biochemistry at Quaid-i-Azam University is an academic and research unit focused on the molecular and chemical processes underlying biological systems.
  • E. Department of Biochemistry
    The Department of Biochemistry is an academic unit within Tohoku University's Faculty of Medicine that focuses on research and education in the molecular and chemical processes underlying biological and medical phenomena.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964133fe481909a44b8159ab8997b completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c841edc81909147d30c51471c47 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67d64ed3481908d434c20796866f9 completed May 2, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69f67e82e35081909c4b5fad7e941610 completed May 2, 2026, 10:45 p.m.
Created at: April 9, 2026, 5:24 p.m.