Triple

T22330010
Position Surface form Disambiguated ID Type / Status
Subject Lambertseter Line E551997 entity
Predicate hasStation P35 FINISHED
Object Økern station 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: Økern station | Statement: [Lambertseter Line, hasStation, Økern station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Økern station
Context triple: [Lambertseter Line, hasStation, Økern station]
  • A. Økern station chosen
    Økern station is an Oslo Metro rapid transit stop in the Økern area of Oslo, Norway.
  • B. 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.
  • C. Hokksund Station
    Hokksund Station is a railway station in Hokksund, Norway, serving as a local and regional transport hub on the country’s rail network.
  • D. Storo station
    Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
  • E. Meråker Station
    Meråker Station is a railway station in the village of Meråker in Trøndelag county, Norway, serving as a stop on the Meråker Line near the Swedish border.
  • 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_69f1577a9c348190b8662142afa832be completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.