Triple

T5652513
Position Surface form Disambiguated ID Type / Status
Subject Vy E124537 entity
Predicate predecessor P97 FINISHED
Object Norges Statsbaner E378087 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: Norges Statsbaner | Statement: [Vy, predecessor, Norges Statsbaner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norges Statsbaner
Context triple: [Vy, predecessor, Norges Statsbaner]
  • A. Norwegian State Railways chosen
    Norwegian State Railways was Norway’s former government-owned railway company responsible for most passenger train services and rail operations across the country.
  • B. Norwegian Railway Authority
    The Norwegian Railway Authority is the national government body responsible for regulating and supervising railway safety and operations in Norway.
  • C. Norwegian Railway Directorate
    The Norwegian Railway Directorate is a government agency responsible for planning, developing, and managing the national railway system in Norway.
  • D. Bergensbanen
    Bergensbanen is a famous Norwegian railway line that traverses dramatic mountain landscapes between Bergen and Oslo, often regarded as one of the most scenic train routes in Europe.
  • E. Trønderbanen
    Trønderbanen is a regional railway line in Trøndelag, Norway, providing passenger train services that connect Trondheim with surrounding towns and communities.
  • 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.