Triple

T17735823
Position Surface form Disambiguated ID Type / Status
Subject KU Leuven E442712 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Medicine NE NERFINISHED

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: Faculty of Medicine | Statement: [KU Leuven, hasFaculty, Faculty of Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine
Context triple: [KU Leuven, hasFaculty, Faculty of Medicine]
  • A. Faculty of Medicine
    The Faculty of Medicine at the University of Bonn is the university’s medical school, responsible for medical education, clinical training, and biomedical research.
  • B. Faculty of Medicine
    The Faculty of Medicine at the University of Girona is an academic unit dedicated to medical education, clinical training, and biomedical research in Girona, Spain.
  • C. Faculty of Medicine
    The Faculty of Medicine at the University of Lleida is a higher education institution dedicated to training medical professionals and conducting research in the health sciences.
  • D. Faculty of Medicine
    The Faculty of Medicine at Sriwijaya University is a medical education and research institution in Indonesia that trains future doctors and health professionals.
  • E. Faculty of Medicine
    The Faculty of Medicine is the medical school of Jordan University of Science and Technology, responsible for training physicians and conducting medical research and education.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine
Target entity description: The Faculty of Medicine at KU Leuven is a leading European medical school and research institution known for its comprehensive medical education, clinical training, and biomedical research.
  • A. Faculty of Medicine
    The Faculty of Medicine at Leiden University is a leading Dutch medical school and research institution known for its contributions to biomedical science, clinical training, and healthcare innovation.
  • B. Faculty of Medicine
    The Faculty of Medicine at the Université libre de Bruxelles is a major academic division that provides medical education, training, and research in the health sciences.
  • C. Faculty of Medicine
    The Faculty of Medicine at the University of Liège is a higher education and research institution specializing in medical and health sciences training for future healthcare professionals.
  • D. Faculty of Medicine
    The Faculty of Medicine at Karolinska Institute is a leading medical education and research division renowned for its contributions to biomedical science and clinical training in Sweden and internationally.
  • E. Faculty of Medicine
    The Faculty of Medicine at Utrecht University is a major academic division responsible for medical education, clinical training, and biomedical research within the university.
  • F. None of above. chosen

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478eaff6c81909c7bd438b8c6c987 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.