Triple
T7483466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Organizational Sciences, University of Belgrade |
E176819
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Operations Research and Statistics
The Department of Operations Research and Statistics is an academic unit specializing in quantitative decision-making, optimization, and statistical analysis within the Faculty of Organizational Sciences at the University of Belgrade.
|
E666153
|
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 Operations Research and Statistics | Statement: [Faculty of Organizational Sciences, University of Belgrade, hasDepartment, Department of Operations Research and Statistics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Operations Research and Statistics Context triple: [Faculty of Organizational Sciences, University of Belgrade, hasDepartment, Department of Operations Research and Statistics]
-
A.
Department of Operations Research and Financial Engineering
The Department of Operations Research and Financial Engineering is an academic department specializing in quantitative methods for decision-making, optimization, and financial modeling, typically housed within a university’s engineering school.
-
B.
Department of Statistical Science
The Department of Statistical Science is an academic unit specializing in statistics and data analysis within a broader mathematical and physical sciences faculty.
-
C.
Department of Statistics
The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
-
D.
Department of Statistics
The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
-
E.
Department of Statistics
The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
- 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 Operations Research and Statistics Triple: [Faculty of Organizational Sciences, University of Belgrade, hasDepartment, Department of Operations Research and Statistics]
Generated description
The Department of Operations Research and Statistics is an academic unit specializing in quantitative decision-making, optimization, and statistical analysis within the Faculty of Organizational Sciences at the University of Belgrade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Operations Research and Statistics Target entity description: The Department of Operations Research and Statistics is an academic unit specializing in quantitative decision-making, optimization, and statistical analysis within the Faculty of Organizational Sciences at the University of Belgrade.
-
A.
Department of Operations Research and Financial Engineering
The Department of Operations Research and Financial Engineering is an academic department specializing in quantitative methods for decision-making, optimization, and financial modeling, typically housed within a university’s engineering school.
-
B.
Department of Statistical Science
The Department of Statistical Science is an academic unit specializing in statistics and data analysis within a broader mathematical and physical sciences faculty.
-
C.
Department of Statistics
The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
-
D.
Department of Statistics
The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
-
E.
Department of Statistics
The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
- 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.