Triple

T13653384
Position Surface form Disambiguated ID Type / Status
Subject New York State Department of Motor Vehicles E326795 entity
Predicate shortName P43 FINISHED
Object NYS DMV E326795 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: NYS DMV | Statement: [New York State Department of Motor Vehicles, shortName, NYS DMV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NYS DMV
Context triple: [New York State Department of Motor Vehicles, shortName, NYS DMV]
  • A. New York State Department of Motor Vehicles chosen
    The New York State Department of Motor Vehicles is the state agency responsible for driver licensing, vehicle registration, and enforcement of motor vehicle laws throughout New York.
  • B. DMV
    DMV is a government agency that administers driver licensing, vehicle registration, and related motor vehicle services.
  • C. DMV
    The DMV is the German Mathematical Society, a major professional organization that promotes mathematics research, education, and communication in Germany.
  • D. Nebraska Department of Motor Vehicles
    The Nebraska Department of Motor Vehicles is the state agency responsible for driver licensing, vehicle registration, and related motor vehicle services in Nebraska.
  • E. DMVs
    DMVs are specialized system views in Microsoft SQL Server that provide real-time insight into server health, performance, and internal operations for monitoring and troubleshooting.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60ace048190a4b92310ba272bd1 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943610488190838719ad31207c52 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:52 p.m.