Triple

T7346044
Position Surface form Disambiguated ID Type / Status
Subject Tøyen metro station E169381 entity
Predicate hasTicketZoneSystem P72429 FINISHED
Object Ruter E129530 NE FINISHED

How this triple was built (3 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: Ruter | Statement: [Tøyen metro station, hasTicketZoneSystem, Ruter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruter
Context triple: [Tøyen metro station, hasTicketZoneSystem, Ruter]
  • A. Ruter chosen
    Ruter is the public transport authority responsible for planning, coordinating, and managing bus, tram, metro, and some ferry services in Oslo and parts of Viken, Norway.
  • B. Oslo Sporveier
    Oslo Sporveier was the former municipal public transport operator in Oslo, Norway, responsible for running the city’s trams, buses, and metro services.
  • C. Ruter bus network
    The Ruter bus network is the primary bus transportation system serving Oslo and the surrounding Akershus region in Norway, operated under the public transport authority Ruter.
  • D. Røa Line
    The Røa Line is a line of the Oslo Metro system in Norway, serving western suburbs including the Røa area and parts of the Vestre Aker borough.
  • E. Metro Service A/S
    Metro Service A/S is the company responsible for operating and managing the Copenhagen Metro system in Denmark.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTicketZoneSystem
Context triple: [Tøyen metro station, hasTicketZoneSystem, Ruter]
  • A. hasFareZoneSystem chosen
    Indicates that an entity uses or is associated with a particular fare zone system for determining travel costs or ticketing.
  • B. ticketingZoneType
    Indicates the type or category of ticketing zone that applies within a given area or context.
  • C. hasFareZone
    Indicates that an entity is located within or associated with a specific fare zone used for pricing or ticketing.
  • D. hasFareZoneFeature
    Indicates that an entity is associated with a specific fare zone or fare-related area designation.
  • E. hasTariffZoneSystem
    Indicates that an entity uses or is governed by a defined tariff zone system for determining prices, fees, or charges.
  • F. None of above.

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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f139505c8190a7158cf59a6e089e completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa8de0888190b62101471048b8e1 completed March 28, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69c6f02aeeb8819099d1626566cec18b completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:05 p.m.