Triple

T22611684
Position Surface form Disambiguated ID Type / Status
Subject Stovner metro station E566719 entity
Predicate hasNativeName P1435 FINISHED
Object Stovner stasjon 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: Stovner stasjon | Statement: [Stovner metro station, hasNativeName, Stovner stasjon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stovner stasjon
Context triple: [Stovner metro station, hasNativeName, Stovner stasjon]
  • A. Stovner station chosen
    Stovner station is an Oslo Metro station in the Stovner neighborhood, serving as a stop on the city's eastern suburban transit network.
  • B. Blakstad station
    Blakstad station is a small railway station in Norway that serves the local community of Blakstad with regional train connections.
  • C. Tøyen station
    Tøyen station is an Oslo Metro station in the Tøyen neighborhood of Oslo, Norway, serving as a stop on the system’s Ring Line.
  • D. Støren Station
    Støren Station is a railway station in Trøndelag, Norway, serving as a junction where the Røros Line meets the Dovre Line and providing regional and long-distance train connections.
  • E. 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.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167eb08c88190bf2380fa8575d2da completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:56 p.m.