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.