Triple

T2932183
Position Surface form Disambiguated ID Type / Status
Subject SNCB/NMBS E78978 entity
Predicate roleWithInfrabel P5885 FINISHED
Object train operating company using infrastructure managed by Infrabel LITERAL 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: train operating company using infrastructure managed by Infrabel | Statement: [SNCB/NMBS, roleWithInfrabel, train operating company using infrastructure managed by Infrabel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleWithInfrabel
Context triple: [SNCB/NMBS, roleWithInfrabel, train operating company using infrastructure managed by Infrabel]
  • A. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • B. railNetworkRole chosen
    Indicates the specific function or responsibility an entity has within a rail network system.
  • C. railwayLineRole
    Indicates the specific functional role or purpose that a railway line serves within a rail network or transportation system.
  • D. infrastructureRole
    Indicates that one entity serves a specific infrastructural function or capacity in relation to another entity.
  • E. partOfTransitSystem
    Indicates that something is a component or segment within a larger transit or transportation system.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad980368e48190a50b59917af4786a completed March 8, 2026, 3:38 p.m.
PD Predicate disambiguation batch_69ad9606e8348190bb19df33a2709674 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:55 p.m.