Triple
T5890336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uniform Crime Reporting Program |
E130971
|
entity |
| Predicate | publishes |
P80
|
FINISHED |
| Object |
Law Enforcement Officers Killed and Assaulted annual report
The Law Enforcement Officers Killed and Assaulted annual report is a nationwide statistical publication that analyzes incidents in which U.S. law enforcement officers are killed or assaulted in the line of duty.
|
E552331
|
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: Law Enforcement Officers Killed and Assaulted annual report | Statement: [Uniform Crime Reporting Program, publishes, Law Enforcement Officers Killed and Assaulted annual report]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Law Enforcement Officers Killed and Assaulted annual report Context triple: [Uniform Crime Reporting Program, publishes, Law Enforcement Officers Killed and Assaulted annual report]
-
A.
National Crime Statistics Exchange
The National Crime Statistics Exchange is a U.S. law enforcement data program that collects and shares detailed crime and incident information from local, state, and federal agencies to support analysis, policy-making, and public safety efforts.
-
B.
Civilian Office of Police Accountability
The Civilian Office of Police Accountability is an independent Chicago agency responsible for investigating allegations of police misconduct and promoting accountability within the city's police force.
-
C.
CompStat
CompStat is a data-driven police management and accountability system that uses crime statistics and mapping to guide deployment and strategy.
-
D.
Attorney General’s Task Force on Violent Crime
The Attorney General’s Task Force on Violent Crime was a U.S. Department of Justice advisory body convened in the early 1980s to study rising violent crime and recommend federal and state policy responses.
-
E.
Support Our Law Enforcement and Safe Neighborhoods Act
The Support Our Law Enforcement and Safe Neighborhoods Act, commonly known as Arizona SB 1070, is a controversial 2010 Arizona immigration law that empowered state and local police to enforce federal immigration rules and sparked major legal and political battles over immigration enforcement and civil rights.
- 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: Law Enforcement Officers Killed and Assaulted annual report Triple: [Uniform Crime Reporting Program, publishes, Law Enforcement Officers Killed and Assaulted annual report]
Generated description
The Law Enforcement Officers Killed and Assaulted annual report is a nationwide statistical publication that analyzes incidents in which U.S. law enforcement officers are killed or assaulted in the line of duty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Law Enforcement Officers Killed and Assaulted annual report Target entity description: The Law Enforcement Officers Killed and Assaulted annual report is a nationwide statistical publication that analyzes incidents in which U.S. law enforcement officers are killed or assaulted in the line of duty.
-
A.
National Crime Statistics Exchange
The National Crime Statistics Exchange is a U.S. law enforcement data program that collects and shares detailed crime and incident information from local, state, and federal agencies to support analysis, policy-making, and public safety efforts.
-
B.
Civilian Office of Police Accountability
The Civilian Office of Police Accountability is an independent Chicago agency responsible for investigating allegations of police misconduct and promoting accountability within the city's police force.
-
C.
CompStat
CompStat is a data-driven police management and accountability system that uses crime statistics and mapping to guide deployment and strategy.
-
D.
Attorney General’s Task Force on Violent Crime
The Attorney General’s Task Force on Violent Crime was a U.S. Department of Justice advisory body convened in the early 1980s to study rising violent crime and recommend federal and state policy responses.
-
E.
Support Our Law Enforcement and Safe Neighborhoods Act
The Support Our Law Enforcement and Safe Neighborhoods Act, commonly known as Arizona SB 1070, is a controversial 2010 Arizona immigration law that empowered state and local police to enforce federal immigration rules and sparked major legal and political battles over immigration enforcement and civil rights.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036b228508190b050acf51860a5c2 |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b146ad348190baeeecb65f2bf811 |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b2178dc48190948397b948dd1970 |
completed | March 23, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b29d6048819086c4d4cd01c64a51 |
completed | March 23, 2026, 3:25 a.m. |
Created at: March 22, 2026, 3:58 p.m.