Triple
T7483467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Organizational Sciences, University of Belgrade |
E176819
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Quality Management
The Department of Quality Management is an academic unit at the University of Belgrade’s Faculty of Organizational Sciences that focuses on education and research in quality management systems, standards, and improvement methodologies.
|
E666154
|
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: Department of Quality Management | Statement: [Faculty of Organizational Sciences, University of Belgrade, hasDepartment, Department of Quality Management]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Quality Management Context triple: [Faculty of Organizational Sciences, University of Belgrade, hasDepartment, Department of Quality Management]
-
A.
Centre for Quality Management
The Centre for Quality Management is a specialized unit within Norway’s national public health institute that focuses on improving the quality, safety, and effectiveness of health services and public health practices.
-
B.
SQC and OR Division
SQC and OR Division is a specialized department of the Indian Statistical Institute focused on statistical quality control and operations research, offering research, consultancy, and training in these areas.
-
C.
Office of Quality and Compliance
The Office of Quality and Compliance is a division within the Oregon Department of Human Services responsible for overseeing adherence to standards, regulations, and best practices to ensure effective and accountable delivery of human services.
-
D.
Department of Production Management
The Department of Production Management is an academic unit at Istanbul University’s Faculty of Business Administration that focuses on teaching and research in operations, production systems, and related management practices.
-
E.
Office of Quality and Patient Safety
The Office of Quality and Patient Safety is a division of the New York State Department of Health responsible for overseeing and promoting healthcare quality improvement and patient safety across the state’s health care system.
- 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: Department of Quality Management Triple: [Faculty of Organizational Sciences, University of Belgrade, hasDepartment, Department of Quality Management]
Generated description
The Department of Quality Management is an academic unit at the University of Belgrade’s Faculty of Organizational Sciences that focuses on education and research in quality management systems, standards, and improvement methodologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Quality Management Target entity description: The Department of Quality Management is an academic unit at the University of Belgrade’s Faculty of Organizational Sciences that focuses on education and research in quality management systems, standards, and improvement methodologies.
-
A.
Centre for Quality Management
The Centre for Quality Management is a specialized unit within Norway’s national public health institute that focuses on improving the quality, safety, and effectiveness of health services and public health practices.
-
B.
SQC and OR Division
SQC and OR Division is a specialized department of the Indian Statistical Institute focused on statistical quality control and operations research, offering research, consultancy, and training in these areas.
-
C.
Office of Quality and Compliance
The Office of Quality and Compliance is a division within the Oregon Department of Human Services responsible for overseeing adherence to standards, regulations, and best practices to ensure effective and accountable delivery of human services.
-
D.
Department of Production Management
The Department of Production Management is an academic unit at Istanbul University’s Faculty of Business Administration that focuses on teaching and research in operations, production systems, and related management practices.
-
E.
Office of Quality and Patient Safety
The Office of Quality and Patient Safety is a division of the New York State Department of Health responsible for overseeing and promoting healthcare quality improvement and patient safety across the state’s health care system.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f53923e4819081bf79ed962a971c |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8349d83cc8190af98c3212e28e913 |
completed | March 28, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69c835904be081908fa9317eb5568d82 |
completed | March 28, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83624248c8190826f80c6bc95a13e |
completed | March 28, 2026, 8:12 p.m. |
Created at: March 27, 2026, 3:42 p.m.