Triple

T22387563
Position Surface form Disambiguated ID Type / Status
Subject Grefsen E553432 entity
Predicate hasNearbyRailwayStation P31869 FINISHED
Object Grefsen 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: Grefsen Station | Statement: [Grefsen, hasNearbyRailwayStation, Grefsen Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grefsen Station
Context triple: [Grefsen, hasNearbyRailwayStation, Grefsen Station]
  • A. Grefsen station chosen
    Grefsen station is a railway station in Oslo, Norway, serving the Gjøvik Line and providing local and regional train connections for the Nordre Aker district.
  • B. Magnor Station
    Magnor Station is a local railway station serving the village of Magnor in Eidskog municipality in Innlandet county, Norway.
  • C. Linderud station
    Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
  • D. Hengst station
    Hengst station is a mountain railway terminus serving as the upper endpoint of the Schneeberg line in Lower Austria.
  • E. Gulskogen Station
    Gulskogen Station is a railway station in the Drammen area of Viken county, Norway, serving local and regional train traffic.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15857fb588190b8180963aedd69c0 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.