Triple
T67577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Terrorism and Financial Intelligence |
E1346
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Office of Terrorist Financing and Financial Crimes
The Office of Terrorist Financing and Financial Crimes is a U.S. Treasury Department component responsible for developing and implementing policies to combat money laundering, terrorist financing, and other illicit finance threats to the financial system.
|
E1346
|
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: Office of Terrorist Financing and Financial Crimes | Statement: [Office of Terrorism and Financial Intelligence, hasPart, Office of Terrorist Financing and Financial Crimes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Office of Terrorist Financing and Financial Crimes Context triple: [Office of Terrorism and Financial Intelligence, hasPart, Office of Terrorist Financing and Financial Crimes]
-
A.
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.
-
B.
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.
-
C.
Egmont Group of Financial Intelligence Units
The Egmont Group of Financial Intelligence Units is an international network that facilitates cooperation and information sharing among national financial intelligence units to combat money laundering, terrorist financing, and related financial crimes.
-
D.
Office of Weapons and Counterproliferation
The Office of Weapons and Counterproliferation is a specialized unit focused on analyzing, monitoring, and helping to prevent the spread of weapons and related technologies.
-
E.
Inter-American Committee against Terrorism
The Inter-American Committee against Terrorism is a specialized body of the Organization of American States that coordinates regional efforts to prevent, combat, and respond to terrorism across the Americas.
- 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: Office of Terrorist Financing and Financial Crimes Triple: [Office of Terrorism and Financial Intelligence, hasPart, Office of Terrorist Financing and Financial Crimes]
Generated description
The Office of Terrorist Financing and Financial Crimes is a U.S. Treasury Department component responsible for developing and implementing policies to combat money laundering, terrorist financing, and other illicit finance threats to the financial system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Office of Terrorist Financing and Financial Crimes Target entity description: The Office of Terrorist Financing and Financial Crimes is a U.S. Treasury Department component responsible for developing and implementing policies to combat money laundering, terrorist financing, and other illicit finance threats to the financial system.
-
A.
Office of Terrorism and Financial Intelligence
chosen
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.
-
B.
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.
-
C.
Egmont Group of Financial Intelligence Units
The Egmont Group of Financial Intelligence Units is an international network that facilitates cooperation and information sharing among national financial intelligence units to combat money laundering, terrorist financing, and related financial crimes.
-
D.
Office of Weapons and Counterproliferation
The Office of Weapons and Counterproliferation is a specialized unit focused on analyzing, monitoring, and helping to prevent the spread of weapons and related technologies.
-
E.
Inter-American Committee against Terrorism
The Inter-American Committee against Terrorism is a specialized body of the Organization of American States that coordinates regional efforts to prevent, combat, and respond to terrorism across the Americas.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f01a2108190a494e7bfcced8290 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a25abaa7dc8190b65fa9d213a40790 |
completed | Feb. 28, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_69a25ba89b70819086966936d11a8dcf |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a25c29bf708190966d4a036ae69f10 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.