Triple

T16533230
Position Surface form Disambiguated ID Type / Status
Subject Maryland Vehicle Administration E401619 entity
Predicate abbreviation P43 FINISHED
Object MVA E401619 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: MVA | Statement: [Maryland Vehicle Administration, abbreviation, MVA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MVA
Context triple: [Maryland Vehicle Administration, abbreviation, MVA]
  • A. MVA chosen
    MVA is the state agency in Maryland responsible for driver licensing, vehicle registration, and related motor vehicle services.
  • B. MVO
    MVO is a post-nominal honorific indicating appointment as a Member of the Royal Victorian Order, a dynastic order of knighthood recognizing distinguished personal service to the British monarch.
  • C. MVLA
    MVLA is a public high school district serving the communities of Mountain View and Los Altos in California’s Silicon Valley.
  • D. MVE
    MVE is the station code for Mount Vernon East, a Metro-North Railroad commuter rail station in Mount Vernon, New York.
  • E. MHA
    MHA is the commonly used abbreviation for India’s Ministry of Home Affairs, the central government ministry responsible for internal security, domestic policy, and law and order.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed97b0881909de106418aca8180 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006093244081909ae74674de966d6d completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:15 a.m.