Triple
T13762412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Business and Economics, Monash University |
E330644
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Econometrics and Business Statistics
The Department of Econometrics and Business Statistics is an academic unit specializing in quantitative analysis, statistical modeling, and data-driven decision-making in economics and business.
|
E1060157
|
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 Econometrics and Business Statistics | Statement: [Faculty of Business and Economics, Monash University, hasDepartment, Department of Econometrics and Business Statistics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Econometrics and Business Statistics Context triple: [Faculty of Business and Economics, Monash University, hasDepartment, Department of Econometrics and Business Statistics]
-
A.
Department of Economics, Business, Mathematics and Statistics
The Department of Economics, Business, Mathematics and Statistics is an academic unit of the University of Trieste that integrates teaching and research in economics, management, quantitative methods, and statistical sciences.
-
B.
Department of Business Analytics and Statistics
The Department of Business Analytics and Statistics is an academic unit specializing in data-driven decision-making, statistical analysis, and analytics education and research within the Haslam College of Business.
-
C.
Faculty of Business, Economics and Statistics
The Faculty of Business, Economics and Statistics is a major academic division of the University of Vienna specializing in research and education in business administration, economics, and statistical sciences.
-
D.
School of Statistics
The School of Statistics is an academic unit of the University of the Philippines Diliman specializing in education and research in statistical science and its applications.
-
E.
Department of Quantitative Methods
The Department of Quantitative Methods is an academic unit at Istanbul University’s Faculty of Business Administration specializing in statistical, mathematical, and analytical techniques for business and management research and decision-making.
- 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 Econometrics and Business Statistics Triple: [Faculty of Business and Economics, Monash University, hasDepartment, Department of Econometrics and Business Statistics]
Generated description
The Department of Econometrics and Business Statistics is an academic unit specializing in quantitative analysis, statistical modeling, and data-driven decision-making in economics and business.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Econometrics and Business Statistics Target entity description: The Department of Econometrics and Business Statistics is an academic unit specializing in quantitative analysis, statistical modeling, and data-driven decision-making in economics and business.
-
A.
Department of Economics, Business, Mathematics and Statistics
The Department of Economics, Business, Mathematics and Statistics is an academic unit of the University of Trieste that integrates teaching and research in economics, management, quantitative methods, and statistical sciences.
-
B.
Department of Business Analytics and Statistics
The Department of Business Analytics and Statistics is an academic unit specializing in data-driven decision-making, statistical analysis, and analytics education and research within the Haslam College of Business.
-
C.
Faculty of Business, Economics and Statistics
The Faculty of Business, Economics and Statistics is a major academic division of the University of Vienna specializing in research and education in business administration, economics, and statistical sciences.
-
D.
School of Statistics
The School of Statistics is an academic unit of the University of the Philippines Diliman specializing in education and research in statistical science and its applications.
-
E.
Department of Quantitative Methods
The Department of Quantitative Methods is an academic unit at Istanbul University’s Faculty of Business Administration specializing in statistical, mathematical, and analytical techniques for business and management research and decision-making.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02250f4881908d5193b3d5d25844 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8606dbc8190b0f7c38583986141 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7ac4f847c8190ab8be535e5399c79 |
completed | May 3, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7acdf70f8819092700c7b6b619d13 |
completed | May 3, 2026, 8:15 p.m. |
Created at: April 9, 2026, 10:10 p.m.