Triple

T19926711
Position Surface form Disambiguated ID Type / Status
Subject TSU E478941 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: [TSU, hasFaculty, Faculty of Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine
Context triple: [TSU, hasFaculty, Faculty of Medicine]
  • A. Faculty of Medicine
    The Faculty of Medicine at the University of Helsinki is a leading Finnish medical education and research institution training physicians, dentists, and other health professionals while conducting advanced biomedical and clinical research.
  • B. Faculty of Medicine
    The Faculty of Medicine at South Valley University is a higher education institution responsible for training medical professionals and conducting research in the health sciences.
  • C. Faculty of Medicine
    The Faculty of Medicine at the University of Jordan is a leading medical school in Amman that provides undergraduate and postgraduate medical education, clinical training, and research.
  • D. Faculty of Medicine
    The Faculty of Medicine at the University of Antioquia is a leading Colombian medical school known for its clinical training, biomedical research, and contribution to public health in the region.
  • E. Faculty of Medicine
    The Faculty of Medicine at Martin Luther University of Halle-Wittenberg is the university’s medical school, responsible for education and research in medicine and related health sciences.
  • 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 is the medical school of TSU, responsible for training future physicians and conducting research in the health sciences.
  • A. Faculty of Medicine
    The Faculty of Medicine at the University of Tours is the institution’s medical school, responsible for training future physicians and conducting research in the health and biomedical sciences.
  • B. Faculty of Medicine
    The Faculty of Medicine is the medical school and health sciences academic division of a university, responsible for training physicians and conducting biomedical and clinical research.
  • C. Faculty of Medicine
    The Faculty of Medicine is the medical education and research division of Tokyo Medical and Dental University, responsible for training physicians and advancing medical science.
  • D. Faculty of Medicine
    The Faculty of Medicine at USC is the university’s medical school, responsible for training future physicians and conducting biomedical research and clinical education.
  • E. Faculty of Medicine
    The Faculty of Medicine at Tishreen University is a medical school that trains future physicians and health professionals through academic study, clinical education, and research.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659ca52c881908dc8053bf61be4c4 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.