Triple

T20707835
Position Surface form Disambiguated ID Type / Status
Subject Jærbanen E508950 entity
Predicate hasStation P35 FINISHED
Object Stavanger 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: Stavanger Station | Statement: [Jærbanen, hasStation, Stavanger Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stavanger Station
Context triple: [Jærbanen, hasStation, Stavanger Station]
  • A. Stavanger Station chosen
    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.
  • B. Egersund Station
    Egersund Station is a railway station in Egersund, Norway, serving as a stop on the Sørlandet Line connecting southwestern towns to the broader Norwegian rail network.
  • C. Kristiansand Station
    Kristiansand Station is the main railway station in Kristiansand, Norway, serving as a key regional hub on the Sørlandet Line.
  • D. Trøgstad Station
    Trøgstad Station was the former name of Jessheim Station, a railway station in Ullensaker, Norway, on the Trunk Line.
  • E. Bergen Station
    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.
  • 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.