Triple

T12687892
Position Surface form Disambiguated ID Type / Status
Subject Royal United Services Institute E303121 entity
Predicate hasPart P35 FINISHED
Object Centre for Financial Crime and Security Studies
The Centre for Financial Crime and Security Studies is a research programme that analyses and combats financial crime and related security threats through policy-focused research, expert analysis, and engagement with governments and industry.
E998022 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: Centre for Financial Crime and Security Studies | Statement: [Royal United Services Institute, hasPart, Centre for Financial Crime and Security Studies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centre for Financial Crime and Security Studies
Context triple: [Royal United Services Institute, hasPart, Centre for Financial Crime and Security Studies]
  • A. Centre for Financial Regulation and Economic Development
    The Centre for Financial Regulation and Economic Development is a research institute focused on studying and advancing legal and policy issues in financial regulation and economic development, based at The Chinese University of Hong Kong’s Faculty of Law.
  • B. Centre for Collaboration with Finance Networks
    The Centre for Collaboration with Finance Networks is a specialized unit within the Norwegian Institute of Public Health that focuses on engaging and coordinating with financial-sector stakeholders to support public health objectives and research.
  • C. Financial Action Task Force
    The Financial Action Task Force is an intergovernmental body that develops and promotes global standards to combat money laundering, terrorist financing, and related financial crimes.
  • D. Office of Terrorism and Financial Intelligence
    The Office of Terrorism and Financial Intelligence is a U.S. Treasury division responsible for using financial tools, including sanctions and intelligence, to combat terrorism, money laundering, and other national security threats.
  • E. Centre for Finance
    The Centre for Finance is a specialized unit within the Norwegian Institute of Public Health that focuses on financial analysis, management, and support for public health activities and research.
  • 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: Centre for Financial Crime and Security Studies
Triple: [Royal United Services Institute, hasPart, Centre for Financial Crime and Security Studies]
Generated description
The Centre for Financial Crime and Security Studies is a research programme that analyses and combats financial crime and related security threats through policy-focused research, expert analysis, and engagement with governments and industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Centre for Financial Crime and Security Studies
Target entity description: The Centre for Financial Crime and Security Studies is a research programme that analyses and combats financial crime and related security threats through policy-focused research, expert analysis, and engagement with governments and industry.
  • A. Centre for Financial Regulation and Economic Development
    The Centre for Financial Regulation and Economic Development is a research institute focused on studying and advancing legal and policy issues in financial regulation and economic development, based at The Chinese University of Hong Kong’s Faculty of Law.
  • B. Centre for Collaboration with Finance Networks
    The Centre for Collaboration with Finance Networks is a specialized unit within the Norwegian Institute of Public Health that focuses on engaging and coordinating with financial-sector stakeholders to support public health objectives and research.
  • C. Financial Action Task Force
    The Financial Action Task Force is an intergovernmental body that develops and promotes global standards to combat money laundering, terrorist financing, and related financial crimes.
  • D. Office of Terrorism and Financial Intelligence
    The Office of Terrorism and Financial Intelligence is a U.S. Treasury division responsible for using financial tools, including sanctions and intelligence, to combat terrorism, money laundering, and other national security threats.
  • E. Centre for Finance
    The Centre for Finance is a specialized unit within the Norwegian Institute of Public Health that focuses on financial analysis, management, and support for public health activities and research.
  • 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_69d961d8cb048190864a85dd75648820 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671aacfa8819088fd113474638238 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6751f79148190a1735abf489fd106 completed May 2, 2026, 10:05 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.