Triple

T3512885
Position Surface form Disambiguated ID Type / Status
Subject ProRail E74236 entity
Predicate collaboratesWith P37 FINISHED
Object Nederlandse Spoorwegen E28405 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: Nederlandse Spoorwegen | Statement: [ProRail, collaboratesWith, Nederlandse Spoorwegen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nederlandse Spoorwegen
Context triple: [ProRail, collaboratesWith, Nederlandse Spoorwegen]
  • A. Nederlandse Spoorwegen chosen
    Nederlandse Spoorwegen is the principal Dutch railway company responsible for most passenger train services across the Netherlands.
  • B. ProRail
    ProRail is the Dutch government-owned company responsible for managing and maintaining the national railway infrastructure in the Netherlands.
  • C. SNCB/NMBS
    SNCB/NMBS is the Belgian national railway company responsible for operating most passenger train services and managing much of the rail infrastructure in Belgium.
  • D. Infrabel
    Infrabel is the Belgian railway infrastructure manager responsible for the construction, maintenance, and operation of the national rail network.
  • E. Deutsche Bahn
    Deutsche Bahn is Germany's state-owned national railway company and one of the largest rail and logistics operators in Europe.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc2d0bf481909d1f19a87d147b63 completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402d3a06481908e512c09306a2566 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:19 p.m.