Triple
T7147580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Violent Crime Control and Law Enforcement Act of 1994 |
E166606
|
entity |
| Predicate | containsProvision |
P1393
|
FINISHED |
| Object |
Community Oriented Policing Services program
The Community Oriented Policing Services program is a U.S. Department of Justice initiative that funds and promotes community policing strategies to build trust and collaboration between law enforcement agencies and the communities they serve.
|
E645615
|
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: Community Oriented Policing Services program | Statement: [Violent Crime Control and Law Enforcement Act of 1994, containsProvision, Community Oriented Policing Services program]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Community Oriented Policing Services program Context triple: [Violent Crime Control and Law Enforcement Act of 1994, containsProvision, Community Oriented Policing Services program]
-
A.
Community Policing Division
The Community Policing Division is a unit of the Bermuda Police Service focused on building partnerships with residents and addressing local safety concerns through proactive, neighborhood-based policing.
-
B.
Law Enforcement Officers Killed and Assaulted Program
The Law Enforcement Officers Killed and Assaulted Program is a U.S. national data collection initiative that compiles and analyzes statistics on officers feloniously or accidentally killed and assaulted in the line of duty.
-
C.
Peelian principles of policing
The Peelian principles of policing are a set of foundational guidelines for modern law enforcement that emphasize crime prevention, public cooperation, and the idea that police legitimacy depends on maintaining the trust and consent of the community.
-
D.
Uniform Crime Reporting Program
The Uniform Crime Reporting Program is a nationwide, standardized system for collecting and publishing crime statistics from law enforcement agencies across the United States.
-
E.
Neighborhood Prosecutor Program
The Neighborhood Prosecutor Program is a community-based initiative of the Los Angeles City Attorney’s Office that assigns prosecutors to specific neighborhoods to address local quality-of-life and public safety issues through proactive, collaborative problem-solving.
- 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: Community Oriented Policing Services program Triple: [Violent Crime Control and Law Enforcement Act of 1994, containsProvision, Community Oriented Policing Services program]
Generated description
The Community Oriented Policing Services program is a U.S. Department of Justice initiative that funds and promotes community policing strategies to build trust and collaboration between law enforcement agencies and the communities they serve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Community Oriented Policing Services program Target entity description: The Community Oriented Policing Services program is a U.S. Department of Justice initiative that funds and promotes community policing strategies to build trust and collaboration between law enforcement agencies and the communities they serve.
-
A.
Community Policing Division
The Community Policing Division is a unit of the Bermuda Police Service focused on building partnerships with residents and addressing local safety concerns through proactive, neighborhood-based policing.
-
B.
Law Enforcement Officers Killed and Assaulted Program
The Law Enforcement Officers Killed and Assaulted Program is a U.S. national data collection initiative that compiles and analyzes statistics on officers feloniously or accidentally killed and assaulted in the line of duty.
-
C.
Peelian principles of policing
The Peelian principles of policing are a set of foundational guidelines for modern law enforcement that emphasize crime prevention, public cooperation, and the idea that police legitimacy depends on maintaining the trust and consent of the community.
-
D.
Uniform Crime Reporting Program
The Uniform Crime Reporting Program is a nationwide, standardized system for collecting and publishing crime statistics from law enforcement agencies across the United States.
-
E.
Neighborhood Prosecutor Program
The Neighborhood Prosecutor Program is a community-based initiative of the Los Angeles City Attorney’s Office that assigns prosecutors to specific neighborhoods to address local quality-of-life and public safety issues through proactive, collaborative problem-solving.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d4f3388190941f03fd80b0c223 |
completed | March 27, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ada513388190a02a3733bfedf0f7 |
completed | March 28, 2026, 10:29 a.m. |
| NEDg | Description generation | batch_69c7ae830c74819091d6d65ac6fba32b |
completed | March 28, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7af1133b08190a32dccf82015c19e |
completed | March 28, 2026, 10:36 a.m. |
Created at: March 27, 2026, 2:46 p.m.