Triple

T5652532
Position Surface form Disambiguated ID Type / Status
Subject Vy E124537 entity
Predicate providesServiceOn P55997 FINISHED
Object Bergen Line E119738 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: Bergen Line | Statement: [Vy, providesServiceOn, Bergen Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergen Line
Context triple: [Vy, providesServiceOn, Bergen Line]
  • A. Bergen Line chosen
    The Bergen Line is a major Norwegian railway route crossing the mountainous terrain between Oslo and Bergen, renowned for its scenic landscapes and high-altitude segments.
  • B. Bergen Line railway
    The Bergen Line railway is a major Norwegian rail route linking Oslo and Bergen, renowned for its high-altitude passage across the scenic Hardangervidda mountain plateau.
  • C. Norway/Vänern Line
    The Norway/Vänern Line is a major railway route in western Sweden that connects the Lake Vänern region with Norway, facilitating both passenger and freight transport.
  • D. Randsfjord Line
    The Randsfjord Line is a historic Norwegian railway line connecting Drammen to Hønefoss, once an important route for both passenger and freight traffic in southeastern Norway.
  • E. Asker Line
    Asker Line is a Norwegian railway line serving the Oslo region, known for handling high-speed and airport express train services.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d8a2588190b10de59edbc8841f completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a255f348190abe3c09fe0b38f45 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:42 p.m.