Triple

T6083444
Position Surface form Disambiguated ID Type / Status
Subject Stortinget metro station E135577 entity
Predicate ownedBy P347 FINISHED
Object Sporveien 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 | Statement: [Stortinget metro station, ownedBy, Sporveien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sporveien
Context triple: [Stortinget metro station, ownedBy, Sporveien]
  • A. 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.
  • B. Svenskens vei
    Svenskens vei is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • C. Vålerenggata
    Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
  • D. Toftes gate
    Toftes gate is a notable street in the Grünerløkka district of Oslo, Norway, known for its mix of historic buildings, cafes, and urban neighborhood life.
  • E. Jærbanen
    Jærbanen is a regional railway line in southwestern Norway that runs along the Jæren coast, connecting Stavanger with surrounding towns and communities.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05786233c81909010a6c2f7e7dfda completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d57b5f481908d7df374837a486a completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:11 p.m.