Triple

T1338418
Position Surface form Disambiguated ID Type / Status
Subject OV-chipkaart E28408 entity
Predicate fareCalculation P27911 FINISHED
Object distance-based 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: distance-based | Statement: [OV-chipkaart, fareCalculation, distance-based]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fareCalculation
Context triple: [OV-chipkaart, fareCalculation, distance-based]
  • A. fare
    Indicates the price or cost required for a person or thing to be transported by a particular mode of travel or service.
  • B. fareBasis
    Indicates the specific fare rule or pricing category that applies to a ticket or travel segment.
  • C. fareType
    Indicates the category or class of fare (such as standard, discounted, or promotional) that applies to a given trip, ticket, or pricing instance.
  • D. fareCapping
    Indicates a limit on the total amount a rider can be charged for fares over a set period, after which additional trips are free or discounted.
  • E. fareIntegration
    Indicates that multiple transportation services or modes share a coordinated fare system, allowing passengers to use a single payment or ticket across them.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2115d388190b031ae2de1296f8a completed March 1, 2026, 10:47 p.m.
PD Predicate disambiguation batch_69a4bef174708190a07bbc697fe19a2d completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c1bf31988190a659f48fe018f4bc completed March 1, 2026, 10:46 p.m.
Created at: March 1, 2026, 7:56 p.m.