Triple
T6227168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Engineering and Applied Science |
E139261
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
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.
|
E577416
|
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 Financial Engineering | Statement: [School of Engineering and Applied Science, hasDepartment, Department of Operations Research and Financial Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Operations Research and Financial Engineering Context triple: [School of Engineering and Applied Science, hasDepartment, Department of Operations Research and Financial Engineering]
-
A.
Department of Industrial Engineering and Operations Research, UC Berkeley
The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
-
B.
Department of Computational Applied Mathematics and Operations Research
The Department of Computational Applied Mathematics and Operations Research is an academic unit specializing in advanced mathematical modeling, optimization, and computational methods for solving complex real-world problems.
-
C.
Decision, Risk, and Operations Division, Columbia Business School
The Decision, Risk, and Operations Division at Columbia Business School is an academic department focused on research and teaching in operations management, decision science, and risk analysis within business contexts.
-
D.
Wharton Risk Management and Decision Processes Center
Wharton Risk Management and Decision Processes Center is a research center at the Wharton School that focuses on understanding, modeling, and improving decision-making related to risk, uncertainty, and public policy.
-
E.
Department of Economics and Finance
The Department of Economics and Finance is an academic unit at Tor Vergata University of Rome focused on teaching and research in economics, finance, and related quantitative 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 Operations Research and Financial Engineering Triple: [School of Engineering and Applied Science, hasDepartment, Department of Operations Research and Financial Engineering]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Operations Research and Financial Engineering Target entity description: 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.
-
A.
Department of Industrial Engineering and Operations Research, UC Berkeley
The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
-
B.
Department of Computational Applied Mathematics and Operations Research
The Department of Computational Applied Mathematics and Operations Research is an academic unit specializing in advanced mathematical modeling, optimization, and computational methods for solving complex real-world problems.
-
C.
Decision, Risk, and Operations Division, Columbia Business School
The Decision, Risk, and Operations Division at Columbia Business School is an academic department focused on research and teaching in operations management, decision science, and risk analysis within business contexts.
-
D.
Wharton Risk Management and Decision Processes Center
Wharton Risk Management and Decision Processes Center is a research center at the Wharton School that focuses on understanding, modeling, and improving decision-making related to risk, uncertainty, and public policy.
-
E.
Department of Economics and Finance
The Department of Economics and Finance is an academic unit at Tor Vergata University of Rome focused on teaching and research in economics, finance, and related quantitative disciplines.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d5403081908effc8330bda3f0a |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dda7f80819085c0d6501a54f931 |
completed | March 24, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69c211420c108190a868fa53877580b7 |
completed | March 24, 2026, 4:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c211d546348190b3954e3462b90a5f |
completed | March 24, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4:22 p.m.