Triple

T38376026
Position Surface form Disambiguated ID Type / Status
Subject Roodeschool E893623 entity
Predicate hasRailwayServiceOperator P121930 FINISHED
Object Arriva Netherlands 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: Arriva Netherlands | Statement: [Roodeschool, hasRailwayServiceOperator, Arriva Netherlands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRailwayServiceOperator
Context triple: [Roodeschool, hasRailwayServiceOperator, Arriva Netherlands]
  • A. hasRailTransportOperator chosen
    Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
  • B. hasRailOperatorNamedAfter
    Indicates that a rail operator is named after the specified entity.
  • C. railwayCompanyOnRoute
    Indicates that a particular railway company operates or provides service on a specified route.
  • D. railwayCompany
    Indicates that one entity is a railway company that owns, operates, or manages railway services or infrastructure in relation to another entity.
  • E. hasLocalRailOperator
    Indicates that a specified rail operator is responsible for providing local or regional rail services within a particular area or network.
  • F. None of above.

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_69f76e4b1f748190a380696a16eae4a2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fe349879848190bcd77e3cc3470458 completed May 8, 2026, 7:08 p.m.
PD Predicate disambiguation batch_69fe31e3cf908190b23ebc2f7fe58722 completed May 8, 2026, 6:56 p.m.
Created at: May 3, 2026, 4:31 p.m.