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.