Triple

T724039
Position Surface form Disambiguated ID Type / Status
Subject E14681 entity
Predicate licensePlateSystem P18660 FINISHED
Object German regional code system 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 regional code system | Statement: [FÜ, licensePlateSystem, German regional code system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: licensePlateSystem
Context triple: [FÜ, licensePlateSystem, German regional code system]
  • A. vehicleRegistrationCode
    Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
  • B. fareControl
    Indicates that an entity is responsible for monitoring, enforcing, or managing payment of fares for access to a service or facility.
  • C. roadSignageIndicates
    Indicates that a piece of road signage conveys, displays, or communicates specific information, instructions, or warnings about road conditions or regulations.
  • D. cityOfLicense
    Indicates the city in which an entity (typically a broadcast station or similar regulated service) is officially licensed or authorized to operate.
  • E. hasTrafficControl
    Indicates that some form of traffic management or regulation mechanism is present or applied to a given route, intersection, or transportation element.
  • F. None of above. chosen

Provenance (4 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a6ab508190b70a05a9d77829a5 completed March 1, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69a4a4f700cc81908c6de3eedf68433c completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a55a26e081908134ee93faaf7c40 completed March 1, 2026, 8:45 p.m.
Created at: March 1, 2026, 7:37 p.m.