Triple

T1149346
Position Surface form Disambiguated ID Type / Status
Subject Ruter bus network E23639 entity
Predicate operator P179 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: [Ruter bus network, operator, Ruter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruter
Context triple: [Ruter bus network, operator, 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. 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.
  • C. Oslo Tramway
    Oslo Tramway is the city’s electric light rail and streetcar network that forms a key part of public transport in Norway’s capital.
  • D. Oslo Metro
    The Oslo Metro is the rapid transit system serving Norway's capital, providing high-frequency urban and suburban rail connections across the Oslo metropolitan area.
  • E. Kongsvinger Line
    The Kongsvinger Line is a Norwegian railway route running east from Oslo toward the Swedish border, serving both passenger and freight traffic.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc7190308190ab104480ed208b22 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a03f6a0819082cd0e0ea74bb5da completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:44 p.m.