Triple

T6441018
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam inner-city road network E138222 entity
Predicate supportsTrafficMode P26781 FINISHED
Object motor traffic 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: motor traffic | Statement: [Amsterdam inner-city road network, supportsTrafficMode, motor traffic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsTrafficMode
Context triple: [Amsterdam inner-city road network, supportsTrafficMode, motor traffic]
  • A. supportsTraffic chosen
    Indicates that one entity is capable of handling, carrying, or accommodating the flow or volume of traffic associated with another entity.
  • B. appliesToTransportMode
    Indicates that a rule, condition, or characteristic is specifically associated with and relevant to a particular mode of transport.
  • C. supportsMobilityType
    Indicates that one entity provides compatibility with, or can function using, a specified type of mobility or movement mode.
  • D. transportModeAccess
    Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
  • E. hasTrafficPattern
    Indicates that there is a characteristic or recurring flow of traffic associated with an entity, such as its typical volume, direction, or timing of movement.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06968c6a88190a623da9bd3152a66 completed March 22, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69c060f96980819091bab9335922a457 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:46 p.m.