Triple

T25509693
Position Surface form Disambiguated ID Type / Status
Subject Eickeloh E639339 entity
Predicate roadTrafficLaw P7767 FINISHED
Object German road traffic regulations (StVO) 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: German road traffic regulations (StVO) | Statement: [Eickeloh, roadTrafficLaw, German road traffic regulations (StVO)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roadTrafficLaw
Context triple: [Eickeloh, roadTrafficLaw, German road traffic regulations (StVO)]
  • A. roadTrafficRuleJurisdiction chosen
    Indicates the jurisdiction or authority under whose road traffic rules a given situation, entity, or action is governed.
  • B. roadTraffic
    Indicates the presence, flow, or conditions of vehicles and movement along roads or streets.
  • C. roadUse
    Indicates that an entity utilizes or travels on a particular road or roadway for movement or transport.
  • D. traffics
    Indicates engaging in the buying, selling, or illicit trading of someone or something, typically as part of an ongoing commercial or criminal operation.
  • E. servesGovernmentTraffic
    Indicates that an entity provides services or functionality specifically for government-related network or data traffic.
  • 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_69e75dbd09308190b6b5f0afdc12ec6d completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f809726081908ae4122cd4e581c1 completed May 2, 2026, 1:11 p.m.
PD Predicate disambiguation batch_69f480789be08190ab252a6de3797200 completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 2:48 p.m.