Triple

T5838292
Position Surface form Disambiguated ID Type / Status
Subject MX3000 train E129528 entity
Predicate operator P179 FINISHED
Object Sporveien AS E132671 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: Sporveien AS | Statement: [MX3000 train, operator, Sporveien AS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sporveien AS
Context triple: [MX3000 train, operator, Sporveien AS]
  • A. Sporveien Trikken AS
    Sporveien Trikken AS is the company responsible for running Oslo’s tram services as part of the city’s public transport system.
  • B. Ruter
    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.
  • C. Sporveien chosen
    Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
  • D. Norwegian State Railways
    Norwegian State Railways was Norway’s former government-owned railway company responsible for most passenger train services and rail operations across the country.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a66c448190a6ea7f9827cbffe9 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19a6554819086cdae499f4d2247 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.