Triple

T460201
Position Surface form Disambiguated ID Type / Status
Subject Criminal Division E7319 entity
Predicate hasSubUnit P35 FINISHED
Object Money Laundering and Asset Recovery Section
The Money Laundering and Asset Recovery Section is a specialized unit within the U.S. Department of Justice that investigates, prosecutes, and coordinates efforts to combat money laundering and recover criminally derived assets.
E57767 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: Money Laundering and Asset Recovery Section | Statement: [Criminal Division, hasSubUnit, Money Laundering and Asset Recovery Section]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Money Laundering and Asset Recovery Section
Context triple: [Criminal Division, hasSubUnit, Money Laundering and Asset Recovery Section]
  • A. Financial Crimes Enforcement Network
    The Financial Crimes Enforcement Network (FinCEN) is a U.S. government bureau that collects and analyzes financial transaction data to combat money laundering, terrorist financing, and other financial crimes.
  • B. 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.
  • C. 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.
  • D. General Directorate of Public Funds Crime
    The General Directorate of Public Funds Crime is a specialized unit within Egypt’s law enforcement structure responsible for investigating financial crimes, corruption, and offenses involving public funds.
  • E. U.S. Department of the Treasury to establish national AML and CFT priorities
    The U.S. Department of the Treasury’s national AML and CFT priorities are a set of government-wide strategic objectives designed to guide financial institutions and agencies in detecting, preventing, and reporting money laundering and terrorist financing activities.
  • 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: Money Laundering and Asset Recovery Section
Triple: [Criminal Division, hasSubUnit, Money Laundering and Asset Recovery Section]
Generated description
The Money Laundering and Asset Recovery Section is a specialized unit within the U.S. Department of Justice that investigates, prosecutes, and coordinates efforts to combat money laundering and recover criminally derived assets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Money Laundering and Asset Recovery Section
Target entity description: The Money Laundering and Asset Recovery Section is a specialized unit within the U.S. Department of Justice that investigates, prosecutes, and coordinates efforts to combat money laundering and recover criminally derived assets.
  • A. Financial Crimes Enforcement Network
    The Financial Crimes Enforcement Network (FinCEN) is a U.S. government bureau that collects and analyzes financial transaction data to combat money laundering, terrorist financing, and other financial crimes.
  • B. 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.
  • C. 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.
  • D. General Directorate of Public Funds Crime
    The General Directorate of Public Funds Crime is a specialized unit within Egypt’s law enforcement structure responsible for investigating financial crimes, corruption, and offenses involving public funds.
  • E. U.S. Department of the Treasury to establish national AML and CFT priorities
    The U.S. Department of the Treasury’s national AML and CFT priorities are a set of government-wide strategic objectives designed to guide financial institutions and agencies in detecting, preventing, and reporting money laundering and terrorist financing activities.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efbd6ed481909ec40f12b5b675c8 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44f583ea081908d92fe5b5dc4d3c0 completed March 1, 2026, 2:38 p.m.
NEDg Description generation batch_69a45150b3f8819094519329a68fb1b8 completed March 1, 2026, 2:46 p.m.
NED2 Entity disambiguation (via description) batch_69a451ab785c8190b4cab0d162b4efa8 completed March 1, 2026, 2:48 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.