Triple
T3148594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corporate Transparency Act |
E65821
|
entity |
| Predicate | administeredBy |
P86
|
FINISHED |
| Object |
Financial Crimes Enforcement Network beneficial ownership information database
The Financial Crimes Enforcement Network beneficial ownership information database is a centralized, confidential U.S. government system that collects and stores information on the true owners of certain companies to help combat money laundering, terrorism financing, and other financial crimes.
|
E65821
|
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: Financial Crimes Enforcement Network beneficial ownership information database | Statement: [Corporate Transparency Act, administeredBy, Financial Crimes Enforcement Network beneficial ownership information database]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Financial Crimes Enforcement Network beneficial ownership information database Context triple: [Corporate Transparency Act, administeredBy, Financial Crimes Enforcement Network beneficial ownership information database]
-
A.
Corporate Transparency Act
The Corporate Transparency Act is a U.S. law that requires many companies to disclose their beneficial owners to the federal government to combat money laundering, terrorism financing, and other illicit financial activities.
-
B.
EDGAR
EDGAR is the U.S. Securities and Exchange Commission’s electronic filing system that provides public access to corporate financial and disclosure documents.
-
C.
Foreign Bank and Financial Accounts Reports
Foreign Bank and Financial Accounts Reports are mandatory U.S. filings that disclose individuals’ and entities’ financial interests in or authority over foreign bank and financial accounts to help prevent tax evasion and financial crimes.
-
D.
Trade Reporting and Compliance Engine
The Trade Reporting and Compliance Engine (TRACE) is FINRA’s centralized system for collecting and disseminating real-time transaction data on U.S. corporate and other fixed-income securities to enhance market transparency and regulatory oversight.
-
E.
BrokerCheck
BrokerCheck is an online tool that provides background information on brokerage firms and financial advisors to help investors research their professional history and regulatory records.
- 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: Financial Crimes Enforcement Network beneficial ownership information database Triple: [Corporate Transparency Act, administeredBy, Financial Crimes Enforcement Network beneficial ownership information database]
Generated description
The Financial Crimes Enforcement Network beneficial ownership information database is a centralized, confidential U.S. government system that collects and stores information on the true owners of certain companies to help combat money laundering, terrorism financing, and other financial crimes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Financial Crimes Enforcement Network beneficial ownership information database Target entity description: The Financial Crimes Enforcement Network beneficial ownership information database is a centralized, confidential U.S. government system that collects and stores information on the true owners of certain companies to help combat money laundering, terrorism financing, and other financial crimes.
-
A.
Corporate Transparency Act
chosen
The Corporate Transparency Act is a U.S. law that requires many companies to disclose their beneficial owners to the federal government to combat money laundering, terrorism financing, and other illicit financial activities.
-
B.
EDGAR
EDGAR is the U.S. Securities and Exchange Commission’s electronic filing system that provides public access to corporate financial and disclosure documents.
-
C.
Foreign Bank and Financial Accounts Reports
Foreign Bank and Financial Accounts Reports are mandatory U.S. filings that disclose individuals’ and entities’ financial interests in or authority over foreign bank and financial accounts to help prevent tax evasion and financial crimes.
-
D.
Trade Reporting and Compliance Engine
The Trade Reporting and Compliance Engine (TRACE) is FINRA’s centralized system for collecting and disseminating real-time transaction data on U.S. corporate and other fixed-income securities to enhance market transparency and regulatory oversight.
-
E.
BrokerCheck
BrokerCheck is an online tool that provides background information on brokerage firms and financial advisors to help investors research their professional history and regulatory records.
- F. None of above.
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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5be30fc819097edb620c65055d5 |
completed | March 8, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f94f3881909a277c45c9add0f5 |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b225b27e1c8190a3df0d4692ee66c6 |
completed | March 12, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b226339e4881908690f7ea7a7bd50c |
completed | March 12, 2026, 2:34 a.m. |
Created at: March 8, 2026, 3:05 p.m.