Triple

T4843415
Position Surface form Disambiguated ID Type / Status
Subject Moss, Norway E108229 entity
Predicate railwayLine P848 FINISHED
Object Østfold Line E50820 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: Østfold Line | Statement: [Moss, Norway, railwayLine, Østfold Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Østfold Line
Context triple: [Moss, Norway, railwayLine, Østfold Line]
  • A. Østfold Line chosen
    The Østfold Line is a major railway line in southeastern Norway that runs from Oslo through towns in the Østfold region toward the Swedish border.
  • B. Drammen Line
    The Drammen Line is a major Norwegian railway route connecting Oslo with the city of Drammen and serving as an important commuter and intercity corridor in the Oslo region.
  • C. Arendal Line
    The Arendal Line is a Norwegian railway route that connects the coastal town of Arendal to the national rail network.
  • D. Frederiksværk Line
    The Frederiksværk Line is a Danish regional railway line in North Zealand that connects several towns between Hillerød and Hundested.
  • E. Gardermoen Line
    The Gardermoen Line is a high-speed railway in Norway that connects Oslo with Oslo Airport and further north, serving as a key part of the country’s intercity and airport rail network.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cff1b008190b537feea0e0cc88f completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cd29c9c8190ab4ca5463ef99c15 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:25 p.m.