Triple

T4978241
Position Surface form Disambiguated ID Type / Status
Subject SAE Level 2 E111819 entity
Predicate safetyExpectation P60756 FINISHED
Object driver must manage system limitations LITERAL FINISHED

How this triple was built (2 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: driver must manage system limitations | Statement: [SAE Level 2, safetyExpectation, driver must manage system limitations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyExpectation
Context triple: [SAE Level 2, safetyExpectation, driver must manage system limitations]
  • A. safetyRequirement
    Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
  • B. safetyRationale
    Indicates the reasoning or justification provided to explain how and why something is considered safe or made safe.
  • C. safety
    Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
  • D. safetyGoal
    Indicates that an entity is associated with a specific safety objective or target condition intended to prevent harm or reduce risk.
  • E. safetyRelevant
    Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
  • F. None of above. chosen

Provenance (4 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd730a7590819088ab8d49c5c88c2f completed March 20, 2026, 4:17 p.m.
PD Predicate disambiguation batch_69bd7146e6e881908a55ab2756b631f6 completed March 20, 2026, 4:09 p.m.
PDg Predicate description generation batch_69bd73089f548190834103366e24ab40 completed March 20, 2026, 4:17 p.m.
Created at: March 20, 2026, 1:33 p.m.