Triple

T6064055
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine Heidelberg E135109 entity
Predicate hasClinicalTrainingSitesIn P465 FINISHED
Object Heidelberg University Hospital E569664 NE FINISHED

How this triple was built (3 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: Heidelberg University Hospital | Statement: [Faculty of Medicine Heidelberg, hasClinicalTrainingSitesIn, Heidelberg University Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heidelberg University Hospital
Context triple: [Faculty of Medicine Heidelberg, hasClinicalTrainingSitesIn, Heidelberg University Hospital]
  • A. Heidelberg University Hospital chosen
    Heidelberg University Hospital is a major German academic medical center in Heidelberg, renowned for its advanced clinical care, biomedical research, and close integration with Heidelberg University.
  • B. University Hospital of Cologne
    The University Hospital of Cologne is a major German teaching and research hospital providing comprehensive medical care in close collaboration with the University of Cologne.
  • C. Faculty of Medicine Heidelberg
    The Faculty of Medicine Heidelberg is the medical school of Heidelberg University, renowned for its research-intensive programs and clinical training in one of Germany’s leading academic medical centers.
  • D. Erlangen University Hospital
    Erlangen University Hospital is a major teaching and research hospital in Erlangen, Germany, closely integrated with the University of Erlangen-Nuremberg’s medical faculty.
  • E. University Hospital Bonn
    University Hospital Bonn is a major academic medical center in Bonn, Germany, providing advanced clinical care, medical research, and teaching in partnership with the University of Bonn.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClinicalTrainingSitesIn
Context triple: [Faculty of Medicine Heidelberg, hasClinicalTrainingSitesIn, Heidelberg University Hospital]
  • A. servesAsTeachingSiteFor
    Indicates that one entity functions as a location or institution where teaching, training, or educational activities are conducted for another entity.
  • B. isTeachingHospitalFor chosen
    Indicates that one institution serves as a clinical training site or educational facility for another, typically a medical school or health education program.
  • C. hasInstitutions
    Indicates that one entity possesses, contains, or is associated with one or more institutions.
  • D. servesAsPrimaryTeachingHospitalFor
    Indicates that one institution functions as the main clinical training and teaching site for another institution, typically a medical school or academic program.
  • E. establishedAsClinicalSchool
    Indicates that an institution or facility has been formally designated and recognized as a clinical school for education and training purposes.
  • F. None of above.

Provenance (4 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05723c91c819090b4d4672e72f9f3 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1414ea324819087dc9267938efb5c completed March 23, 2026, 1:34 p.m.
PD Predicate disambiguation batch_69c049f031408190b08b2766237c5dd0 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:10 p.m.