Triple

T16533261
Position Surface form Disambiguated ID Type / Status
Subject Maryland Vehicle Administration E401619 entity
Predicate hasMainRegulatoryDomain P4800 FINISHED
Object road transport 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: road transport | Statement: [Maryland Vehicle Administration, hasMainRegulatoryDomain, road transport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainRegulatoryDomain
Context triple: [Maryland Vehicle Administration, hasMainRegulatoryDomain, road transport]
  • A. regulatoryDomain chosen
    Indicates that one entity defines or governs the rules, policies, or constraints under which another entity must operate.
  • B. hasRegulatedBy
    Indicates that one entity is subject to control, governance, or rules imposed by another entity.
  • C. hasMainGoverningBody
    Indicates that an entity possesses a primary official organization or authority responsible for its overall governance or decision-making.
  • D. regulatoryDomainSupported
    Indicates that an entity is compatible with, and can operate under, a specified regulatory domain or jurisdiction.
  • E. hasRegulatoryPower
    Indicates that one entity possesses formal authority to create, enforce, or oversee rules and regulations governing another entity or activity.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed97b0881909de106418aca8180 completed April 18, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69e2969fab208190ad64164d24748c45 completed April 17, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:15 a.m.