Triple

T29953597
Position Surface form Disambiguated ID Type / Status
Subject LNER Class V2 E760834 entity
Predicate notableRouteUse P83751 FINISHED
Object East Coast Main Line E40678 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: East Coast Main Line | Statement: [LNER Class V2, notableRouteUse, East Coast Main Line]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableRouteUse
Context triple: [LNER Class V2, notableRouteUse, East Coast Main Line]
  • A. notableRouteType
    Indicates that a route is particularly significant or well-known for a specific type or category (e.g., scenic, historic, commercial).
  • B. notableUse
    Indicates that something is prominently or famously used by a particular entity, context, or for a specific purpose.
  • C. notableRouteFeature
    Indicates that a route is associated with a distinctive or significant feature, such as a landmark, characteristic terrain, or other notable aspect along its path.
  • D. usedRoutes chosen
    Indicates that an entity has utilized or traveled along specific routes.
  • E. notableLocationUse
    Indicates that a location is notably used for a particular purpose, activity, or function associated with the subject.
  • F. None of above.

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_69f2246562b881909d57622f4086d43d completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2714358bc881909e6d91db90885c64 completed June 8, 2026, 7:12 p.m.
PD Predicate disambiguation batch_6a0379e0f3d88190a4ee7b0673f1ef90 completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 6:26 p.m.