Triple

T21273554
Position Surface form Disambiguated ID Type / Status
Subject Lillestrøm Station E524328 entity
Predicate servedByOperator P5884 FINISHED
Object Vy NE NERFINISHED

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: Vy | Statement: [Lillestrøm Station, servedByOperator, Vy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vy
Context triple: [Lillestrøm Station, servedByOperator, Vy]
  • A. Vy chosen
    Vy is a major Norwegian railway and public transport company operating regional, intercity, and commuter train services across Norway and parts of Sweden.
  • B. VY
    VY is the IATA airline designator assigned to Vueling, a Spanish low-cost carrier based in Barcelona.
  • C. YV
    YV is the IATA airline designator used to identify Mesa Airlines in flight schedules and ticketing systems.
  • D. V
    V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
  • E. V
    V is a television miniseries best known as a 1980s science fiction drama about an alien invasion and human resistance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73655717c819092f71ed1920f52b5 completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:01 p.m.