Triple

T38159417
Position Surface form Disambiguated ID Type / Status
Subject St Pancras International high-speed services E952977 entity
Predicate hasKeyOperator P193812 FINISHED
Object Eurostar Group 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: Eurostar Group | Statement: [St Pancras International high-speed services, hasKeyOperator, Eurostar Group]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKeyOperator
Context triple: [St Pancras International high-speed services, hasKeyOperator, Eurostar Group]
  • A. hasKeyElement
    Indicates that one entity contains or depends on another entity that serves as a primary or essential component.
  • B. hasKeyFunction
    Indicates that one entity serves as a primary or essential function or role for another entity.
  • C. hasKeyFunctor
    Indicates that one entity serves as the primary or key functor (main functional operator or mapping) associated with another entity.
  • D. hasKeyArgumentType
    Indicates that a key argument in a relation or event has a specific semantic or syntactic type.
  • E. hasKeySupporter
    Indicates that an entity has a primary or crucial supporter who significantly backs or advocates for it.
  • F. None of above. chosen

Provenance (4 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_69f76f0b93c48190a117319ab3a9f282 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fd553d7cb881908d243e7a9f30ac85 completed May 8, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69fd514dcb1c81908333c70d7edd79c9 completed May 8, 2026, 2:58 a.m.
PDg Predicate description generation batch_69fd553c01488190b9fda48b4a728f04 completed May 8, 2026, 3:15 a.m.
Created at: May 3, 2026, 4:21 p.m.