Triple

T18381560
Position Surface form Disambiguated ID Type / Status
Subject Årnes E446461 entity
Predicate hasRailwayStation P918 FINISHED
Object Årnes 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: Årnes Station | Statement: [Årnes, hasRailwayStation, Årnes Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Årnes Station
Context triple: [Årnes, hasRailwayStation, Årnes Station]
  • A. Årnes Station chosen
    Årnes Station is a railway station serving the village of Årnes in Nes municipality in Akershus, Norway, providing regional rail connections to the surrounding area.
  • B. Bjørnfjell Station
    Bjørnfjell Station is a remote railway station in northern Norway near the Swedish border, serving the mountainous area along the Ofoten Line.
  • C. Brumunddal Station
    Brumunddal Station is a railway station serving the town of Brumunddal in Ringsaker, Innlandet county, Norway, on the Dovre Line.
  • D. Reinsvoll Station
    Reinsvoll Station is a railway station serving the village of Reinsvoll in Vestre Toten, Norway, on the Gjøvik Line.
  • E. Rygge Station
    Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179b60f88190adf39e85375bd11b completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.