Triple

T22327065
Position Surface form Disambiguated ID Type / Status
Subject Grefsen tram depot E551927 entity
Predicate operatedBy P86 FINISHED
Object Sporveien Trikken NE NERFINISHED

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 Trikken | Statement: [Grefsen tram depot, operatedBy, Sporveien Trikken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sporveien Trikken
Context triple: [Grefsen tram depot, operatedBy, Sporveien Trikken]
  • A. Sporveien
    Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
  • B. Sporveien Trikken AS chosen
    Sporveien Trikken AS is the company responsible for running Oslo’s tram services as part of the city’s public transport system.
  • C. Blå Tåget
    Blå Tåget is a classic haunted house–style dark ride at the Gröna Lund amusement park in Stockholm, Sweden.
  • D. Trikken i Oslo
    Trikken i Oslo is the electric tram system that forms a key part of the public transport network in Norway’s capital, Oslo.
  • E. Bybanen
    Bybanen is the modern light rail system serving the Norwegian city of Bergen, providing frequent urban and suburban public transport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157693460819087c165481eb9e128 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.