Triple
T12684686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Business Administration, The Chinese University of Hong Kong |
E303036
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
Department of Decision Sciences and Managerial Economics
The Department of Decision Sciences and Managerial Economics is an academic unit at The Chinese University of Hong Kong’s Business School that focuses on quantitative decision-making, business analytics, and economic analysis in management.
|
E997989
|
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 Decision Sciences and Managerial Economics | Statement: [Faculty of Business Administration, The Chinese University of Hong Kong, hasUnit, Department of Decision Sciences and Managerial Economics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Decision Sciences and Managerial Economics Context triple: [Faculty of Business Administration, The Chinese University of Hong Kong, hasUnit, Department of Decision Sciences and Managerial Economics]
-
A.
Information Systems and Decision Sciences Department
The Information Systems and Decision Sciences Department is an academic unit specializing in information technology, analytics, and data-driven decision-making within the Muma College of Business.
-
B.
Department of Operations and Decision Sciences
The Department of Operations and Decision Sciences is an academic unit specializing in operations management, business analytics, and quantitative decision-making within the Lazaridis School of Business and Economics.
-
C.
Department of Management Sciences
The Department of Management Sciences is an academic unit at Kohat University of Science and Technology that offers education and research programs in business, management, and related fields.
-
D.
Department of Economics and Management
The Department of Economics and Management is an academic unit of the University of Ferrara focused on teaching and research in economics, business, and related social sciences.
-
E.
Department of Economics and Management
The Department of Economics and Management is an academic unit of the University of Trento focused on teaching and research in economics, business, and management disciplines.
- 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 Decision Sciences and Managerial Economics Triple: [Faculty of Business Administration, The Chinese University of Hong Kong, hasUnit, Department of Decision Sciences and Managerial Economics]
Generated description
The Department of Decision Sciences and Managerial Economics is an academic unit at The Chinese University of Hong Kong’s Business School that focuses on quantitative decision-making, business analytics, and economic analysis in management.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Decision Sciences and Managerial Economics Target entity description: The Department of Decision Sciences and Managerial Economics is an academic unit at The Chinese University of Hong Kong’s Business School that focuses on quantitative decision-making, business analytics, and economic analysis in management.
-
A.
Information Systems and Decision Sciences Department
The Information Systems and Decision Sciences Department is an academic unit specializing in information technology, analytics, and data-driven decision-making within the Muma College of Business.
-
B.
Department of Operations and Decision Sciences
The Department of Operations and Decision Sciences is an academic unit specializing in operations management, business analytics, and quantitative decision-making within the Lazaridis School of Business and Economics.
-
C.
Department of Management Sciences
The Department of Management Sciences is an academic unit at Kohat University of Science and Technology that offers education and research programs in business, management, and related fields.
-
D.
Department of Economics and Management
The Department of Economics and Management is an academic unit of the University of Trento focused on teaching and research in economics, business, and management disciplines.
-
E.
Department of Economics and Management
The Department of Economics and Management is an academic unit of the University of Ferrara focused on teaching and research in economics, business, and related social sciences.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d7cd4c81909521839ef5859799 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a8f068819086e2191439607f76 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6749c2ddc8190945270e6e5b210dd |
completed | May 2, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675d17c9c8190853fe3001944a7d3 |
completed | May 2, 2026, 10:08 p.m. |
Created at: April 9, 2026, 5:21 p.m.