Triple

T14099516
Position Surface form Disambiguated ID Type / Status
Subject Tabriz University of Medical Sciences E339342 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Management and Medical Informatics
The Faculty of Management and Medical Informatics is an academic division of Tabriz University of Medical Sciences specializing in health services management, health policy, and medical information systems education and research.
E1079985 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: Faculty of Management and Medical Informatics | Statement: [Tabriz University of Medical Sciences, hasFaculty, Faculty of Management and Medical Informatics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Management and Medical Informatics
Context triple: [Tabriz University of Medical Sciences, hasFaculty, Faculty of Management and Medical Informatics]
  • A. Faculty of Applied Medical Sciences
    The Faculty of Applied Medical Sciences is a college within October 6 University that offers specialized education and training in practical healthcare and medical science disciplines.
  • B. Faculty of Medical Engineering and Technomathematics
    The Faculty of Medical Engineering and Technomathematics is an academic division specializing in the intersection of engineering, mathematics, and medical applications within FH Aachen University of Applied Sciences.
  • C. Faculty of Health Technology
    The Faculty of Health Technology is an academic division of the Federal University of Technology Owerri focused on training professionals and conducting research in health-related and biomedical technology fields.
  • D. Faculty of Medicine and Health Care
    The Faculty of Medicine and Health Care is a medical and health sciences faculty within Al-Farabi Kazakh National University, offering education and research programs in clinical and public health disciplines.
  • E. Faculty of Medical Sciences
    The Faculty of Medical Sciences is Radboud University Nijmegen’s medical faculty, responsible for education and research in medicine and health sciences, closely linked to its academic hospital.
  • 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: Faculty of Management and Medical Informatics
Triple: [Tabriz University of Medical Sciences, hasFaculty, Faculty of Management and Medical Informatics]
Generated description
The Faculty of Management and Medical Informatics is an academic division of Tabriz University of Medical Sciences specializing in health services management, health policy, and medical information systems education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Management and Medical Informatics
Target entity description: The Faculty of Management and Medical Informatics is an academic division of Tabriz University of Medical Sciences specializing in health services management, health policy, and medical information systems education and research.
  • A. Faculty of Applied Medical Sciences
    The Faculty of Applied Medical Sciences is a college within October 6 University that offers specialized education and training in practical healthcare and medical science disciplines.
  • B. Faculty of Medical Engineering and Technomathematics
    The Faculty of Medical Engineering and Technomathematics is an academic division specializing in the intersection of engineering, mathematics, and medical applications within FH Aachen University of Applied Sciences.
  • C. Faculty of Health Technology
    The Faculty of Health Technology is an academic division of the Federal University of Technology Owerri focused on training professionals and conducting research in health-related and biomedical technology fields.
  • D. Faculty of Medicine and Health Care
    The Faculty of Medicine and Health Care is a medical and health sciences faculty within Al-Farabi Kazakh National University, offering education and research programs in clinical and public health disciplines.
  • E. Faculty of Medical Sciences
    The Faculty of Medical Sciences is Radboud University Nijmegen’s medical faculty, responsible for education and research in medicine and health sciences, closely linked to its academic hospital.
  • F. None of above. chosen

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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0adfc28819097a1bfd56739c286 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd41c84408190ab4bc885e7ba8f81 completed May 7, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69fcd4ab4b588190977b3dc2adc1f412 completed May 7, 2026, 6:06 p.m.
Created at: April 9, 2026, 10:22 p.m.