Triple

T20707300
Position Surface form Disambiguated ID Type / Status
Subject Trunk Line E508937 entity
Predicate hasStation P35 FINISHED
Object Jessheim 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: Jessheim Station | Statement: [Trunk Line, hasStation, Jessheim Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessheim Station
Context triple: [Trunk Line, hasStation, Jessheim Station]
  • A. Jessheim Station chosen
    Jessheim Station is a railway station in Jessheim, Norway, serving as a local transport hub on the country's rail network.
  • B. Rygge Station
    Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
  • C. Stabekk Station
    Stabekk Station is a railway station in Bærum, Norway, serving the Stabekk area on the Drammen Line of the Norwegian rail network.
  • 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. Verdal Station
    Verdal Station is a railway station in the town of Verdal in Trøndelag county, Norway, serving as a stop on the Nordland 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1917ce08190a54720d4d5b0a02c completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:14 p.m.