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.