Triple
T936090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isle of Man Constabulary |
E20196
|
entity |
| Predicate | hasSpecialUnit |
P1198
|
FINISHED |
| Object |
Financial Crime Unit
The Financial Crime Unit is a specialized division of the Isle of Man Constabulary responsible for investigating and combating financial and economic crimes, including fraud, money laundering, and related offenses.
|
E110461
|
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 Crime Unit | Statement: [Isle of Man Constabulary, hasSpecialUnit, Financial Crime Unit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Financial Crime Unit Context triple: [Isle of Man Constabulary, hasSpecialUnit, Financial Crime Unit]
-
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.
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.
-
C.
Computer Crimes Unit
The Computer Crimes Unit is a specialized division of the Massachusetts State Police that investigates and analyzes technology-related and cyber-enabled criminal activity.
-
D.
Cyber Crimes Unit
The Cyber Crimes Unit is a specialized division of the Los Angeles Police Department that investigates computer-related offenses, digital fraud, hacking, and other technology-based crimes.
-
E.
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.
- 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 Crime Unit Triple: [Isle of Man Constabulary, hasSpecialUnit, Financial Crime Unit]
Generated description
The Financial Crime Unit is a specialized division of the Isle of Man Constabulary responsible for investigating and combating financial and economic crimes, including fraud, money laundering, and related offenses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Financial Crime Unit Target entity description: The Financial Crime Unit is a specialized division of the Isle of Man Constabulary responsible for investigating and combating financial and economic crimes, including fraud, money laundering, and related offenses.
-
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.
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.
-
C.
Computer Crimes Unit
The Computer Crimes Unit is a specialized division of the Massachusetts State Police that investigates and analyzes technology-related and cyber-enabled criminal activity.
-
D.
Cyber Crimes Unit
The Cyber Crimes Unit is a specialized division of the Los Angeles Police Department that investigates computer-related offenses, digital fraud, hacking, and other technology-based crimes.
-
E.
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.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b36558588190a2a9c710073624d1 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee141f188190bf7502870d9351ac |
completed | March 4, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69a7fbb70f008190be6454f2c99a51dc |
completed | March 4, 2026, 9:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7fc165e548190909cdb61a7da9b02 |
completed | March 4, 2026, 9:32 a.m. |
Created at: March 1, 2026, 7:40 p.m.