Triple

T5290890
Position Surface form Disambiguated ID Type / Status
Subject Vy Tog E119737 entity
Predicate operatesService P5884 FINISHED
Object Sørland Line E125808 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: Sørland Line | Statement: [Vy Tog, operatesService, Sørland Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sørland Line
Context triple: [Vy Tog, operatesService, Sørland Line]
  • A. Sørlandet Line chosen
    The Sørlandet Line is a major Norwegian railway route connecting Oslo with the southern coastal region, including cities such as Kristiansand and Stavanger.
  • B. Gjøvik Line
    The Gjøvik Line is a Norwegian railway route connecting Oslo with the town of Gjøvik through the inland districts north of the capital.
  • C. Trønderbanen
    Trønderbanen is a regional railway line in Trøndelag, Norway, providing passenger train services that connect Trondheim with surrounding towns and communities.
  • D. Nordland Line
    The Nordland Line is a major Norwegian railway route that runs through scenic northern landscapes, connecting central Norway to the Arctic Circle region and beyond.
  • E. Kongsvinger Line
    The Kongsvinger Line is a Norwegian railway route running east from Oslo toward the Swedish border, serving both passenger and freight traffic.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84eac7b88190900142bd1310c0fd completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c3bfdc48190984c8b55ece53fbe completed March 22, 2026, 4:12 a.m.
Created at: March 20, 2026, 1:52 p.m.