Triple

T21273520
Position Surface form Disambiguated ID Type / Status
Subject Bergensbanen E524327 entity
Predicate hasStation P35 FINISHED
Object Bergen 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: Bergen station | Statement: [Bergensbanen, hasStation, Bergen station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergen station
Context triple: [Bergensbanen, hasStation, Bergen station]
  • A. Bergen Station chosen
    Bergen Station is the main railway terminal in Bergen, Norway, serving as the western terminus of the Bergen Line and a key hub for regional and long-distance train services.
  • B. Stavanger Station
    Stavanger Station is a major railway hub in southwestern Norway, serving as the primary terminus and connection point for regional and long-distance train services in the Stavanger area.
  • C. Røa station
    Røa station is a suburban rapid transit stop on the Oslo Metro serving the Røa neighborhood in western Oslo, Norway.
  • D. Trondheim Central Station
    Trondheim Central Station is the main railway hub in Trondheim, Norway, serving as a key junction for regional and long-distance train services across the country.
  • E. Drammen Station
    Drammen Station is a major railway hub in Drammen, Norway, connecting regional and long-distance train services to Oslo and other parts of the country.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73655717c819092f71ed1920f52b5 completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:01 p.m.