Triple
T2575029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OECA |
E57754
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
Office of Criminal Enforcement, Forensics and Training
The Office of Criminal Enforcement, Forensics and Training is a division of the U.S. Environmental Protection Agency responsible for investigating and supporting the prosecution of serious environmental crimes through specialized law enforcement and forensic expertise.
|
E278875
|
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 Criminal Enforcement, Forensics and Training | Statement: [OECA, hasDivision, Office of Criminal Enforcement, Forensics and Training]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Office of Criminal Enforcement, Forensics and Training Context triple: [OECA, hasDivision, Office of Criminal Enforcement, Forensics and Training]
-
A.
Criminal Enforcement Division
The Criminal Enforcement Division is a specialized investigative unit of the Maryland State Police responsible for handling major crimes and complex criminal investigations across the state.
-
B.
Office of Enforcement Operations
The Office of Enforcement Operations is a component of the U.S. Department of Justice that oversees and supports complex criminal investigations and prosecutions, particularly those involving sensitive law enforcement techniques and national security matters.
-
C.
Federal Law Enforcement Training Centers
The Federal Law Enforcement Training Centers is a U.S. government organization that provides basic and advanced training to federal, state, local, and international law enforcement personnel.
-
D.
Forensic Investigation Center
The Forensic Investigation Center is a specialized New York State Police facility that conducts advanced scientific analysis and evidence processing to support criminal investigations.
-
E.
Office of Training, Investigations and Safety
The Office of Training, Investigations and Safety is a division within the Oregon Department of Human Services responsible for staff development, oversight of incident investigations, and promoting safety and compliance across the agency’s programs.
- 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 Criminal Enforcement, Forensics and Training Triple: [OECA, hasDivision, Office of Criminal Enforcement, Forensics and Training]
Generated description
The Office of Criminal Enforcement, Forensics and Training is a division of the U.S. Environmental Protection Agency responsible for investigating and supporting the prosecution of serious environmental crimes through specialized law enforcement and forensic expertise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Office of Criminal Enforcement, Forensics and Training Target entity description: The Office of Criminal Enforcement, Forensics and Training is a division of the U.S. Environmental Protection Agency responsible for investigating and supporting the prosecution of serious environmental crimes through specialized law enforcement and forensic expertise.
-
A.
Criminal Enforcement Division
The Criminal Enforcement Division is a specialized investigative unit of the Maryland State Police responsible for handling major crimes and complex criminal investigations across the state.
-
B.
Office of Enforcement Operations
The Office of Enforcement Operations is a component of the U.S. Department of Justice that oversees and supports complex criminal investigations and prosecutions, particularly those involving sensitive law enforcement techniques and national security matters.
-
C.
Federal Law Enforcement Training Centers
The Federal Law Enforcement Training Centers is a U.S. government organization that provides basic and advanced training to federal, state, local, and international law enforcement personnel.
-
D.
Forensic Investigation Center
The Forensic Investigation Center is a specialized New York State Police facility that conducts advanced scientific analysis and evidence processing to support criminal investigations.
-
E.
Office of Training, Investigations and Safety
The Office of Training, Investigations and Safety is a division within the Oregon Department of Human Services responsible for staff development, oversight of incident investigations, and promoting safety and compliance across the agency’s programs.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a43f188190a3d7538bf7867466 |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af657413908190a03b9dd8dc40b2e4 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af67cbaf388190b5bb447af2a8e941 |
completed | March 10, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af682b38d08190bba53245e813f044 |
completed | March 10, 2026, 12:39 a.m. |
Created at: March 6, 2026, 9:48 p.m.