Triple

T16177119
Position Surface form Disambiguated ID Type / Status
Subject Zürcher Verkehrsverbund E392591 entity
Predicate usesFareStructure P32811 FINISHED
Object zones and fare levels 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: zones and fare levels | Statement: [Zürcher Verkehrsverbund, usesFareStructure, zones and fare levels]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesFareStructure
Context triple: [Zürcher Verkehrsverbund, usesFareStructure, zones and fare levels]
  • A. partOfFareStructure
    Indicates that one element is included as a component within a larger fare structure or pricing scheme.
  • B. fareSystem
    Indicates a relationship where a system is used to determine, collect, or manage fares or payments for transportation or similar services.
  • C. fareStructure chosen
    Indicates the pricing scheme or set of rules that determine how fares are calculated and applied for a given service or trip.
  • D. hasFareZoneSystem
    Indicates that an entity uses or is associated with a particular fare zone system for determining travel costs or ticketing.
  • E. fareSystemFeature
    Indicates that a fare system possesses or supports a particular feature, function, or characteristic related to how fares are calculated, managed, or used.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22059e7048190b4592cb1516b5f8d completed April 17, 2026, 11:58 a.m.
PD Predicate disambiguation batch_69e219d642708190ba31a90dce76a210 completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:02 a.m.