Triple
T2652440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compliance, Safety, Accountability program |
E53930
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
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.
|
E285901
|
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: Comprehensive Safety Analysis 2010 | Statement: [Compliance, Safety, Accountability program, formerName, Comprehensive Safety Analysis 2010]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comprehensive Safety Analysis 2010 Context triple: [Compliance, Safety, Accountability program, formerName, Comprehensive Safety Analysis 2010]
-
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.
Office of Safety Data and Analysis
The Office of Safety Data and Analysis is a division within the U.S. Bureau of Transportation Statistics that specializes in collecting, analyzing, and disseminating data related to transportation safety.
-
C.
Strategic Highway Safety Plans
Strategic Highway Safety Plans are statewide, data-driven, multi-year road safety strategies that coordinate agencies and countermeasures to systematically reduce traffic fatalities and serious injuries.
-
D.
Center for Auto Safety
The Center for Auto Safety is a nonprofit consumer advocacy organization in the United States that focuses on improving automobile safety, reliability, and regulatory oversight.
-
E.
AASHTO Highway Safety Manual
The AASHTO Highway Safety Manual is a foundational reference that provides data-driven methods and tools for predicting, evaluating, and improving roadway safety performance in transportation engineering and planning.
- 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: Comprehensive Safety Analysis 2010 Triple: [Compliance, Safety, Accountability program, formerName, Comprehensive Safety Analysis 2010]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Comprehensive Safety Analysis 2010 Target entity description: 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.
-
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.
Office of Safety Data and Analysis
The Office of Safety Data and Analysis is a division within the U.S. Bureau of Transportation Statistics that specializes in collecting, analyzing, and disseminating data related to transportation safety.
-
C.
Strategic Highway Safety Plans
Strategic Highway Safety Plans are statewide, data-driven, multi-year road safety strategies that coordinate agencies and countermeasures to systematically reduce traffic fatalities and serious injuries.
-
D.
Center for Auto Safety
The Center for Auto Safety is a nonprofit consumer advocacy organization in the United States that focuses on improving automobile safety, reliability, and regulatory oversight.
-
E.
AASHTO Highway Safety Manual
The AASHTO Highway Safety Manual is a foundational reference that provides data-driven methods and tools for predicting, evaluating, and improving roadway safety performance in transportation engineering and planning.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd93197f48190b04faf358b503204 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98ce81fc8190b7c6c66acfcb87c7 |
completed | March 10, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69af99416924819099d4acb1a2d60e0c |
completed | March 10, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af99adadb08190a44f2286b25bf0aa |
completed | March 10, 2026, 4:10 a.m. |
Created at: March 6, 2026, 9:53 p.m.