Triple

T6910566
Position Surface form Disambiguated ID Type / Status
Subject University of Geneva Hospitals E159920 entity
Predicate affiliatedWith P254 FINISHED
Object University of Geneva Faculty of Medicine
The University of Geneva Faculty of Medicine is a leading Swiss medical school known for its research-intensive programs, clinical training, and integration with Geneva’s university hospital system.
E4409 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: University of Geneva Faculty of Medicine | Statement: [University of Geneva Hospitals, affiliatedWith, University of Geneva Faculty of Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Geneva Faculty of Medicine
Context triple: [University of Geneva Hospitals, affiliatedWith, University of Geneva Faculty of Medicine]
  • A. 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.
  • B. University of Bern Faculty of Medicine
    The University of Bern Faculty of Medicine is the medical faculty of the University of Bern in Switzerland, providing education, research, and clinical training in collaboration with major teaching hospitals.
  • C. 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.
  • D. Lausanne University Hospital
    Lausanne University Hospital is a major Swiss teaching and research hospital in Lausanne, closely integrated with the University of Lausanne’s medical and biomedical training and clinical care.
  • E. University of Geneva
    The University of Geneva is a major public research university in Switzerland known for its strong programs in international relations, law, and the sciences, and its close ties to numerous international organizations based in Geneva.
  • 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: University of Geneva Faculty of Medicine
Triple: [University of Geneva Hospitals, affiliatedWith, University of Geneva Faculty of Medicine]
Generated description
The University of Geneva Faculty of Medicine is a leading Swiss medical school known for its research-intensive programs, clinical training, and integration with Geneva’s university hospital system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: University of Geneva Faculty of Medicine
Target entity description: The University of Geneva Faculty of Medicine is a leading Swiss medical school known for its research-intensive programs, clinical training, and integration with Geneva’s university hospital system.
  • A. 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.
  • B. University of Bern Faculty of Medicine
    The University of Bern Faculty of Medicine is the medical faculty of the University of Bern in Switzerland, providing education, research, and clinical training in collaboration with major teaching hospitals.
  • C. 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.
  • D. Lausanne University Hospital
    Lausanne University Hospital is a major Swiss teaching and research hospital in Lausanne, closely integrated with the University of Lausanne’s medical and biomedical training and clinical care.
  • E. University of Geneva chosen
    The University of Geneva is a major public research university in Switzerland known for its strong programs in international relations, law, and the sciences, and its close ties to numerous international organizations based in Geneva.
  • F. None of above.

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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9c00e948190b103a2b2a2738bb1 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7490c95548190a493d3fd23d1d7a5 completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c749d4b088819095f991f976592d04 completed March 28, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69c74aab12988190bd23cfcc06c55cde completed March 28, 2026, 3:27 a.m.
Created at: March 27, 2026, 2:25 p.m.