Triple

T12877105
Position Surface form Disambiguated ID Type / Status
Subject CalSTA E307996 entity
Predicate oversees P46 FINISHED
Object Department of Motor Vehicles E697072 NE 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: Department of Motor Vehicles | Statement: [CalSTA, oversees, Department of Motor Vehicles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Motor Vehicles
Context triple: [CalSTA, oversees, Department of Motor Vehicles]
  • A. Division of Driver Licensing
    The Division of Driver Licensing is the Kentucky state agency responsible for administering driver’s licenses, permits, and related testing and records.
  • B. Traffic Department
    The Traffic Department of Dubai Police is the specialized division responsible for managing road safety, regulating traffic flow, and enforcing traffic laws across Dubai.
  • C. Traffic Bureau
    The Traffic Bureau is a specialized division of the Tokyo Metropolitan Police Department responsible for managing road safety, traffic regulation, and accident prevention in Tokyo.
  • D. Traffic Bureau
    The Traffic Bureau is a specialized unit within the Polish police responsible for overseeing and enforcing road safety and traffic regulations nationwide.
  • E. DMV chosen
    DMV is a government agency that administers driver licensing, vehicle registration, and related motor vehicle services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:38 p.m.