Triple

T5840678
Position Surface form Disambiguated ID Type / Status
Subject Trikken i Oslo E129584 entity
Predicate fareSystem P395 FINISHED
Object Ruter E129530 NE 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: Ruter | Statement: [Trikken i Oslo, fareSystem, Ruter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruter
Context triple: [Trikken i Oslo, fareSystem, 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. Metro Service A/S
    Metro Service A/S is the company responsible for operating and managing the Copenhagen Metro system in Denmark.
  • E. Bergensbanen
    Bergensbanen is a famous Norwegian railway line that traverses dramatic mountain landscapes between Bergen and Oslo, often regarded as one of the most scenic train routes in Europe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034d6f09c81908dfb3c2c51a2f5a9 completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11caeda788190a50b99c75045900d completed March 23, 2026, 10:57 a.m.
Created at: March 22, 2026, 3:54 p.m.