Triple

T28636
Position Surface form Disambiguated ID Type / Status
Subject Financial Crimes Enforcement Network E570 entity
Predicate mandate P68 FINISHED
Object combat money laundering LITERAL FINISHED

How this triple was built (2 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: combat money laundering | Statement: [Financial Crimes Enforcement Network, mandate, combat money laundering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mandate
Context triple: [Financial Crimes Enforcement Network, mandate, combat money laundering]
  • A. mission chosen
    Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
  • B. plea
    Indicates that a defendant formally states their response (such as guilty, not guilty, or no contest) to criminal charges in a legal proceeding.
  • C. enactedBy
    Indicates that a law, policy, or formal measure is officially established or brought into effect by a specific authority or governing body.
  • D. decides
    Indicates that an entity makes a choice or determination between options, often resolving uncertainty or selecting a course of action.
  • E. requires
    Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
  • F. None of above.

Provenance (3 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24925607c8190a9ce7ec834f3e5bb completed Feb. 28, 2026, 1:47 a.m.
PD Predicate disambiguation batch_69a2486bd74c81908d32be3c7d22f51f completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.