Triple

T22721232
Position Surface form Disambiguated ID Type / Status
Subject Department of Finance (Gies College of Business) E561865 entity
Predicate hasUnit P35 FINISHED
Object Office of Risk Management and Insurance Research
The Office of Risk Management and Insurance Research is an academic center that advances scholarship and education in risk management and insurance within the Gies College of Business at the University of Illinois.
E1551286 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: Office of Risk Management and Insurance Research | Statement: [Department of Finance (Gies College of Business), hasUnit, Office of Risk Management and Insurance Research]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Office of Risk Management and Insurance Research
Context triple: [Department of Finance (Gies College of Business), hasUnit, Office of Risk Management and Insurance Research]
  • A. Office of Risk Management and Analysis
    The Office of Risk Management and Analysis was a component of the U.S. Department of Homeland Security focused on assessing and integrating risk information to support national infrastructure protection and security decision-making.
  • B. Centre for Risk Management
    The Centre for Risk Management is a specialized unit within Norway’s public health system that focuses on assessing, managing, and advising on health-related risks to support evidence-based policy and preparedness.
  • C. Division of Insurance and Research
    The Division of Insurance and Research is an FDIC unit responsible for analyzing banking risks, insurance funds, and economic trends to support the stability of the U.S. financial system.
  • D. Institute of Insurance Science
    The Institute of Insurance Science is an academic research and teaching institute at Ulm University specializing in insurance, risk management, and actuarial science within the Faculty of Mathematics and Economics.
  • E. Centre for Collaboration with Risk Management Networks
    The Centre for Collaboration with Risk Management Networks is a specialized unit within Norway’s public health system that coordinates and strengthens partnerships focused on assessing and managing public health risks.
  • 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: Office of Risk Management and Insurance Research
Triple: [Department of Finance (Gies College of Business), hasUnit, Office of Risk Management and Insurance Research]
Generated description
The Office of Risk Management and Insurance Research is an academic center that advances scholarship and education in risk management and insurance within the Gies College of Business at the University of Illinois.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Office of Risk Management and Insurance Research
Target entity description: The Office of Risk Management and Insurance Research is an academic center that advances scholarship and education in risk management and insurance within the Gies College of Business at the University of Illinois.
  • A. Office of Risk Management and Analysis
    The Office of Risk Management and Analysis was a component of the U.S. Department of Homeland Security focused on assessing and integrating risk information to support national infrastructure protection and security decision-making.
  • B. Centre for Risk Management
    The Centre for Risk Management is a specialized unit within Norway’s public health system that focuses on assessing, managing, and advising on health-related risks to support evidence-based policy and preparedness.
  • C. Division of Insurance and Research
    The Division of Insurance and Research is an FDIC unit responsible for analyzing banking risks, insurance funds, and economic trends to support the stability of the U.S. financial system.
  • D. Institute of Insurance Science
    The Institute of Insurance Science is an academic research and teaching institute at Ulm University specializing in insurance, risk management, and actuarial science within the Faculty of Mathematics and Economics.
  • E. Centre for Collaboration with Risk Management Networks
    The Centre for Collaboration with Risk Management Networks is a specialized unit within Norway’s public health system that coordinates and strengthens partnerships focused on assessing and managing public health risks.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17911a4fc81908a125209aea77e22 completed April 29, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ee1fa788190b7589af0c049f6e5 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b834f488c8190bee40bd1caea0e40 completed May 18, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0b8717b65c819089d29c1802d1ed55 completed May 18, 2026, 9:39 p.m.
Created at: April 17, 2026, 3:19 p.m.