Triple
T12010930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BASICs |
E285902
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Behavior Analysis and Safety Improvement Categories
Behavior Analysis and Safety Improvement Categories (BASICs) are the Federal Motor Carrier Safety Administration’s core safety measurement areas used to evaluate and prioritize commercial motor carriers for enforcement based on their safety-related behaviors and violations.
|
E960569
|
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: Behavior Analysis and Safety Improvement Categories | Statement: [BASICs, fullName, Behavior Analysis and Safety Improvement Categories]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Behavior Analysis and Safety Improvement Categories Context triple: [BASICs, fullName, Behavior Analysis and Safety Improvement Categories]
-
A.
Most Wanted List of Transportation Safety Improvements
The Most Wanted List of Transportation Safety Improvements is a priority agenda issued by the National Transportation Safety Board that highlights the most critical safety changes needed across U.S. transportation modes to prevent accidents and save lives.
-
B.
Comprehensive Safety Analysis 2010
Comprehensive Safety Analysis 2010 was the original name of the U.S. Federal Motor Carrier Safety Administration’s data-driven initiative to improve commercial motor vehicle safety and reduce crashes, injuries, and fatalities.
-
C.
School of Safety Engineering
The School of Safety Engineering is an academic unit specializing in safety science and engineering education and research, particularly related to mining and industrial environments.
-
D.
Human Behaviour
"Human Behaviour" is a 1993 song by Icelandic artist Björk, known for its unconventional structure, lush production, and surreal music video directed by Michel Gondry.
-
E.
Behavior Transition Center
Behavior Transition Center is a specialized alternative education campus within Granbury Independent School District that supports students needing behavioral and disciplinary intervention services.
- 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: Behavior Analysis and Safety Improvement Categories Triple: [BASICs, fullName, Behavior Analysis and Safety Improvement Categories]
Generated description
Behavior Analysis and Safety Improvement Categories (BASICs) are the Federal Motor Carrier Safety Administration’s core safety measurement areas used to evaluate and prioritize commercial motor carriers for enforcement based on their safety-related behaviors and violations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Behavior Analysis and Safety Improvement Categories Target entity description: Behavior Analysis and Safety Improvement Categories (BASICs) are the Federal Motor Carrier Safety Administration’s core safety measurement areas used to evaluate and prioritize commercial motor carriers for enforcement based on their safety-related behaviors and violations.
-
A.
Most Wanted List of Transportation Safety Improvements
The Most Wanted List of Transportation Safety Improvements is a priority agenda issued by the National Transportation Safety Board that highlights the most critical safety changes needed across U.S. transportation modes to prevent accidents and save lives.
-
B.
Comprehensive Safety Analysis 2010
Comprehensive Safety Analysis 2010 was the original name of the U.S. Federal Motor Carrier Safety Administration’s data-driven initiative to improve commercial motor vehicle safety and reduce crashes, injuries, and fatalities.
-
C.
School of Safety Engineering
The School of Safety Engineering is an academic unit specializing in safety science and engineering education and research, particularly related to mining and industrial environments.
-
D.
Human Behaviour
"Human Behaviour" is a 1993 song by Icelandic artist Björk, known for its unconventional structure, lush production, and surreal music video directed by Michel Gondry.
-
E.
Behavior Transition Center
Behavior Transition Center is a specialized alternative education campus within Granbury Independent School District that supports students needing behavioral and disciplinary intervention services.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d7777481908cd5a001f75e2ee3 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b363c6481908c8414c1eecc14f5 |
completed | May 1, 2026, 11:15 a.m. |
| NEDg | Description generation | batch_69f48fc6da4c81908442f18cb4a65b27 |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495cc50908190aab4f8ca64c66ef3 |
completed | May 1, 2026, noon |
Created at: April 8, 2026, 9:46 p.m.