Triple

T16938915
Position Surface form Disambiguated ID Type / Status
Subject Southern Crescent E410898 entity
Predicate railroadBranding P39149 FINISHED
Object Southern Railway green-and-gold livery 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: Southern Railway green-and-gold livery | Statement: [Southern Crescent, railroadBranding, Southern Railway green-and-gold livery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railroadBranding
Context triple: [Southern Crescent, railroadBranding, Southern Railway green-and-gold livery]
  • A. railwayOperatorBranding chosen
    Indicates that one entity is responsible for the railway-related branding, livery, or visual identity applied to another entity (such as a train service, station, or rolling stock).
  • B. usesRollingStockBrand
    Indicates that one entity employs or operates rolling stock manufactured under a specific brand.
  • C. notableTrainBrand
    Indicates that an entity is a well-known or significant brand associated with trains or railway services.
  • D. railroadAffiliate
    Indicates that one entity is affiliated with, associated with, or operates in connection with a railroad organization or railway system.
  • E. railwayName
    Indicates the name assigned to a specific railway or railway line in the relationship.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2c44288190a105761ae646989e completed April 18, 2026, 6:36 p.m.
PD Predicate disambiguation batch_69e32b9aa8748190b248890aca86753d completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:31 a.m.