Triple

T20672676
Position Surface form Disambiguated ID Type / Status
Subject M3 motorway (Hungary) E508068 entity
Predicate tollSystem P3913 FINISHED
Object e-vignette NE NERFINISHED

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: e-vignette | Statement: [M3 motorway (Hungary), tollSystem, e-vignette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: e-vignette
Context triple: [M3 motorway (Hungary), tollSystem, e-vignette]
  • A. Hungarian e-vignette system chosen
    The Hungarian e-vignette system is a nationwide electronic toll scheme that requires motorists to purchase time-based digital permits for using designated motorways and main roads in Hungary.
  • B. Swiss motorway vignette
    The Swiss motorway vignette is a mandatory annual toll sticker that drivers must display on their vehicles to use Switzerland’s national motorways and expressways.
  • C. ETC
    ETC is a technology company specializing in simulation, training, and environmental control systems for aerospace, military, and industrial applications.
  • D. EcoPass
    EcoPass is a transit pass program that provides eligible riders with unlimited access to public transportation services within the Regional Transportation District.
  • E. STIF card
    The STIF card was a contactless smart card used for public transportation in the Île-de-France region before being rebranded as the Navigo pass.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cb1fc88190805f623e93a70368 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.