Triple
T15074435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BJS |
E379962
|
entity |
| Predicate | publishes |
P80
|
FINISHED |
| Object |
Reports on law enforcement management and administrative statistics
Reports on law enforcement management and administrative statistics are Bureau of Justice Statistics publications that provide detailed data and analysis on how law enforcement agencies are organized, staffed, funded, and managed across the United States.
|
E1134831
|
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: Reports on law enforcement management and administrative statistics | Statement: [BJS, publishes, Reports on law enforcement management and administrative statistics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reports on law enforcement management and administrative statistics Context triple: [BJS, publishes, Reports on law enforcement management and administrative statistics]
-
A.
CompStat
CompStat is a data-driven police management and accountability system that uses crime statistics and mapping to guide deployment and strategy.
-
B.
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.
-
C.
Report on Police
Report on Police is a section of the Wickersham Commission’s landmark early-1930s study that critically examined law enforcement practices and police misconduct in the United States.
-
D.
Report on Lawlessness in Law Enforcement
The Report on Lawlessness in Law Enforcement is a landmark 1931 Wickersham Commission study that exposed widespread police misconduct and abuses in the United States, particularly in the enforcement of Prohibition laws.
-
E.
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.
- 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: Reports on law enforcement management and administrative statistics Triple: [BJS, publishes, Reports on law enforcement management and administrative statistics]
Generated description
Reports on law enforcement management and administrative statistics are Bureau of Justice Statistics publications that provide detailed data and analysis on how law enforcement agencies are organized, staffed, funded, and managed across the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reports on law enforcement management and administrative statistics Target entity description: Reports on law enforcement management and administrative statistics are Bureau of Justice Statistics publications that provide detailed data and analysis on how law enforcement agencies are organized, staffed, funded, and managed across the United States.
-
A.
CompStat
CompStat is a data-driven police management and accountability system that uses crime statistics and mapping to guide deployment and strategy.
-
B.
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.
-
C.
Report on Police
Report on Police is a section of the Wickersham Commission’s landmark early-1930s study that critically examined law enforcement practices and police misconduct in the United States.
-
D.
Report on Lawlessness in Law Enforcement
The Report on Lawlessness in Law Enforcement is a landmark 1931 Wickersham Commission study that exposed widespread police misconduct and abuses in the United States, particularly in the enforcement of Prohibition laws.
-
E.
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.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fb60448190b454386dd762644d |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cff69c8190b6252509c1aa7ebb |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea6bf2558819082fc91fe8df6f3f5 |
completed | May 9, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea8018a088190b6eba72a7e6196b2 |
completed | May 9, 2026, 3:20 a.m. |
Created at: April 10, 2026, 3:02 a.m.