Triple

T20707627
Position Surface form Disambiguated ID Type / Status
Subject Dovrebanen E508945 entity
Predicate hasStation P35 FINISHED
Object Oppdal 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: Oppdal Station | Statement: [Dovrebanen, hasStation, Oppdal Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oppdal Station
Context triple: [Dovrebanen, hasStation, Oppdal Station]
  • A. Oppdal Station chosen
    Oppdal Station is a railway station in the village of Oppdal, Norway, serving as a stop on the Dovre Line between Oslo and Trondheim.
  • B. Gaustad station
    Gaustad station is a stop on Oslo’s metro network serving the Gaustad area, including nearby institutions such as the Rikshospitalet university hospital.
  • C. Slemdal station
    Slemdal station is a stop on Oslo’s metro network located in the residential Slemdal area of the city.
  • D. Lønsdal Station
    Lønsdal Station is a railway station in Nordland county, Norway, serving the remote mountain area of Saltfjellet on the Nordland Line.
  • E. Blakstad station
    Blakstad station is a small railway station in Norway that serves the local community of Blakstad with regional train connections.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1952e888190877b79933970f7b0 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:14 p.m.