Triple

T22330007
Position Surface form Disambiguated ID Type / Status
Subject Lambertseter Line E551997 entity
Predicate hasStation P35 FINISHED
Object Nydalen station E626637 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: Nydalen station | Statement: [Lambertseter Line, hasStation, Nydalen station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nydalen station
Context triple: [Lambertseter Line, hasStation, Nydalen station]
  • A. Nydalen station chosen
    Nydalen station is an Oslo Metro station serving the Nydalen area in the Nordre Aker borough of Oslo, Norway.
  • B. Mortensrud station
    Mortensrud station is a metro station in Oslo, Norway, serving as the southern terminus of the Oslo Metro’s Line 3 in the Mortensrud neighborhood.
  • C. Skøyen Station
    Skøyen Station is a major railway and commuter hub in Oslo, Norway, serving regional and local trains as part of the city's western transport corridor.
  • D. Frognerseteren station
    Frognerseteren station is a terminal Oslo Metro station located in the Frognerseteren area, known for its scenic surroundings and access to hiking and skiing trails.
  • E. Stovner station
    Stovner station is an Oslo Metro station in the Stovner neighborhood, serving as a stop on the city's eastern suburban transit network.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577a9c348190b8662142afa832be completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1dc1a2b0819086f47315c7b12fab completed May 18, 2026, 2:10 p.m.
Created at: April 16, 2026, 8:43 p.m.