Triple

T3826063
Position Surface form Disambiguated ID Type / Status
Subject Department of Neurology, University Hospital Zurich E88692 entity
Predicate collaboratesWith P37 FINISHED
Object Faculty of Medicine, University of Zurich
The Faculty of Medicine at the University of Zurich is a major academic institution in Switzerland responsible for medical education, research, and clinical collaboration with affiliated hospitals and research centers.
E402449 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: Faculty of Medicine, University of Zurich | Statement: [Department of Neurology, University Hospital Zurich, collaboratesWith, Faculty of Medicine, University of Zurich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, University of Zurich
Context triple: [Department of Neurology, University Hospital Zurich, collaboratesWith, Faculty of Medicine, University of Zurich]
  • A. University Hospital Zurich
    University Hospital Zurich is a major Swiss teaching and research hospital in Zurich, closely integrated with the University of Zurich’s medical faculty.
  • B. Faculty of Science of the University of Zurich
    The Faculty of Science of the University of Zurich is the university’s main natural sciences division, encompassing disciplines such as biology, chemistry, physics, and earth sciences.
  • C. University of Zurich
    The University of Zurich is a major public research university in Switzerland renowned for its contributions to science and scholarship, including being one of the institutions where Albert Einstein taught.
  • D. University of Geneva Hospitals
    The University of Geneva Hospitals is a major Swiss academic medical center and teaching hospital network closely integrated with the University of Geneva’s Faculty of Medicine.
  • E. Swiss Academy of Medical Sciences
    The Swiss Academy of Medical Sciences is a leading Swiss institution that promotes excellence, ethics, and innovation in medical research and healthcare policy.
  • 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: Faculty of Medicine, University of Zurich
Triple: [Department of Neurology, University Hospital Zurich, collaboratesWith, Faculty of Medicine, University of Zurich]
Generated description
The Faculty of Medicine at the University of Zurich is a major academic institution in Switzerland responsible for medical education, research, and clinical collaboration with affiliated hospitals and research centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, University of Zurich
Target entity description: The Faculty of Medicine at the University of Zurich is a major academic institution in Switzerland responsible for medical education, research, and clinical collaboration with affiliated hospitals and research centers.
  • A. University Hospital Zurich
    University Hospital Zurich is a major Swiss teaching and research hospital in Zurich, closely integrated with the University of Zurich’s medical faculty.
  • B. Faculty of Science of the University of Zurich
    The Faculty of Science of the University of Zurich is the university’s main natural sciences division, encompassing disciplines such as biology, chemistry, physics, and earth sciences.
  • C. University of Zurich
    The University of Zurich is a major public research university in Switzerland renowned for its contributions to science and scholarship, including being one of the institutions where Albert Einstein taught.
  • D. University of Geneva Hospitals
    The University of Geneva Hospitals is a major Swiss academic medical center and teaching hospital network closely integrated with the University of Geneva’s Faculty of Medicine.
  • E. Swiss Academy of Medical Sciences
    The Swiss Academy of Medical Sciences is a leading Swiss institution that promotes excellence, ethics, and innovation in medical research and healthcare policy.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb64c72c8190b5f3d376aa4ee933 completed March 9, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5336ec05c8190ab632671bc1326c2 completed March 14, 2026, 10:07 a.m.
NEDg Description generation batch_69b5341fb74081909a33753e5fdd5c32 completed March 14, 2026, 10:10 a.m.
NED2 Entity disambiguation (via description) batch_69b534d279548190bee44aea7828ed3b completed March 14, 2026, 10:13 a.m.
Created at: March 9, 2026, 3:17 p.m.