Triple

T16812018
Position Surface form Disambiguated ID Type / Status
Subject Vestre Toten E408636 entity
Predicate hasTransport P1298 FINISHED
Object Gjøvikbanen railway line E129277 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: Gjøvikbanen railway line | Statement: [Vestre Toten, hasTransport, Gjøvikbanen railway line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gjøvikbanen railway line
Context triple: [Vestre Toten, hasTransport, Gjøvikbanen railway line]
  • A. Gjøvik Line chosen
    The Gjøvik Line is a Norwegian railway route connecting Oslo with the town of Gjøvik through the inland districts north of the capital.
  • B. Vy Gjøvikbanen
    Vy Gjøvikbanen is a Norwegian railway company that operates passenger train services on the Gjøvik Line as part of the Vy transport group.
  • C. 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.
  • D. Trønderbanen
    Trønderbanen is a regional railway line in Trøndelag, Norway, providing passenger train services that connect Trondheim with surrounding towns and communities.
  • E. Meråkerbanen
    Meråkerbanen is a Norwegian railway line in Trøndelag that connects Trondheim to 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2d0793c81909d938ac174a6e63a completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.