Triple

T294596
Position Surface form Disambiguated ID Type / Status
Subject Bank Secrecy Act E6065 entity
Predicate shortName P43 FINISHED
Object BSA
BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
 E37933 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: BSA | Statement: [Bank Secrecy Act, shortName, BSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BSA
Context triple: [Bank Secrecy Act, shortName, BSA]
  • A. BSC
    BSC is an acronym commonly referring to British Security Coordination, a covert World War II intelligence organization established by the United Kingdom in North America.
  • B. BAA
    BAA is the acronym for the Basketball Association of America, the professional basketball league that later merged to form today’s National Basketball Association (NBA).
  • C. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • D. EBSA
    EBSA is a U.S. Department of Labor agency responsible for enforcing federal laws that regulate private-sector employee benefit plans, including retirement and health plans.
  • E. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • 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: BSA
Triple: [Bank Secrecy Act, shortName, BSA]
Generated description
BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BSA
Target entity description: BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
  • A. BSC
    BSC is an acronym commonly referring to British Security Coordination, a covert World War II intelligence organization established by the United Kingdom in North America.
  • B. BAA
    BAA is the acronym for the Basketball Association of America, the professional basketball league that later merged to form today’s National Basketball Association (NBA).
  • C. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • D. EBSA
    EBSA is a U.S. Department of Labor agency responsible for enforcing federal laws that regulate private-sector employee benefit plans, including retirement and health plans.
  • E. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e978420881908488df342a7d5e90 completed Feb. 28, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3a5d514388190ac0f748a406ae43e completed March 1, 2026, 2:35 a.m.
NEDg Description generation batch_69a3a63b33408190bea3a099165d1233 completed March 1, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_69a3a69b4e488190ae092d6989c75556 completed March 1, 2026, 2:38 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.