Triple

T17765241
Position Surface form Disambiguated ID Type / Status
Subject Tajik State Medical University E443485 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Pediatrics 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 Pediatrics | Statement: [Tajik State Medical University, hasFaculty, Faculty of Pediatrics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Pediatrics
Context triple: [Tajik State Medical University, hasFaculty, Faculty of Pediatrics]
  • A. Faculty of Medicine
    The Faculty of Medicine at Nahda University in Beni Suef is a medical school that trains future physicians and healthcare professionals through academic study and clinical practice.
  • B. Faculty of Medicine
    The Faculty of Medicine at Universiti Teknologi MARA is a medical school that provides undergraduate and postgraduate education, training, and research in medicine and health sciences.
  • C. Faculty of Medicine
    The Faculty of Medicine at the University of Gezira is a medical school in Sudan known for its community-oriented medical education and focus on addressing local health needs.
  • D. Faculty of Medicine
    The Faculty of Medicine is the medical school of the Universidad de La Frontera in Chile, dedicated to training healthcare professionals and conducting biomedical and clinical research.
  • E. Faculty of Medicine
    The Faculty of Medicine is the academic division of Universidad Católica del Norte dedicated to training healthcare professionals 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 Pediatrics
Target entity description: The Faculty of Pediatrics is a specialized division of Tajik State Medical University dedicated to training medical students in child health and pediatric medicine.
  • A. Faculty of Pediatrics chosen
    The Faculty of Pediatrics is an academic division specializing in the education and training of future pediatricians and child health professionals.
  • B. Faculty of Medicine
    The Faculty of Medicine at Tohoku University is a leading Japanese medical school and research institution known for its contributions to clinical medicine and biomedical science.
  • C. Faculty of Medicine
    The Faculty of Medicine at Kobe University is an academic division dedicated to medical education and research, training physicians and advancing healthcare science.
  • D. Faculty of Medicine
    The Faculty of Medicine at the University of Southampton is a leading UK medical school known for its research-intensive programs and training of future doctors and biomedical scientists.
  • E. Faculty of Medicine
    The Faculty of Medicine at the University of Split is a higher education and research institution that trains future medical professionals and conducts biomedical research in Split, Croatia.
  • F. None of above.

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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fb2a3c81908887d1d36aee942d completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.