Triple

T4978233
Position Surface form Disambiguated ID Type / Status
Subject SAE Level 2 E111819 entity
Predicate automationScope P6851 FINISHED
Object execution of steering and speed control only 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: execution of steering and speed control only | Statement: [SAE Level 2, automationScope, execution of steering and speed control only]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: automationScope
Context triple: [SAE Level 2, automationScope, execution of steering and speed control only]
  • A. operationalScope chosen
    Indicates the range, extent, or boundaries within which an entity, process, or activity is authorized or designed to operate.
  • B. organizationalScope
    Indicates the range or extent of responsibility, authority, or applicability that an action, policy, or relationship has within an organization or its sub-units.
  • C. accessScope
    Indicates the extent or boundaries of access that one entity has to another entity or resource.
  • D. scopeType
    Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
  • E. coverageScope
    Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
  • F. None of above.

Provenance (3 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.
Created at: March 20, 2026, 1:33 p.m.