Triple

T14601529
Position Surface form Disambiguated ID Type / Status
Subject Løten E342715 entity
Predicate hasRailwayStation P918 FINISHED
Object Løten Station E1061835 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: Løten Station | Statement: [Løten, hasRailwayStation, Løten Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Løten Station
Context triple: [Løten, hasRailwayStation, Løten Station]
  • A. Løten Station chosen
    Løten Station is a railway station in Innlandet county, Norway, serving the village of Løten on the Røros Line.
  • B. Årnes Station
    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.
  • C. Moelv Station
    Moelv Station is a railway station serving the town of Moelv in Ringsaker, Innlandet county, Norway, on the Dovre Line.
  • D. Bjørnfjell Station
    Bjørnfjell Station is a remote railway station in northern Norway near the Swedish border, serving the mountainous area along the Ofoten 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 (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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91a4d7881908f783beb72578067 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:25 a.m.