Triple

T33899707
Position Surface form Disambiguated ID Type / Status
Subject SS Empress of Britain (2027) E869012 entity
Predicate hasPrimaryRouteType P55123 FINISHED
Object transatlantic route — 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: transatlantic route | Statement: [SS Empress of Britain (2027), hasPrimaryRouteType, transatlantic route]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryRouteType
Context triple: [SS Empress of Britain (2027), hasPrimaryRouteType, transatlantic route]
  • A. hasPrimaryRoute chosen
    Indicates that one entity is designated as the main or principal route associated with another entity.
  • B. hasRouteType
    Indicates that there is a specific kind or category of route associated with an entity (e.g., road, rail, bus line).
  • C. hasPrimaryTrafficType
    Indicates that an entity is associated with a main or predominant type of traffic it handles or is designed for.
  • D. hasMajorRouteType
    Indicates that an entity is associated with a primary classification of transportation route (such as highway, rail line, or other major route type).
  • E. primaryRouteType
    Indicates the main category or kind of route associated with an entity, such as its primary mode, path, or routing classification.
  • 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_69f34997703c8190866b1d404bce531f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a0204dafcc08190868a6f3eab162505 completed May 11, 2026, 4:33 p.m.
PD Predicate disambiguation batch_6a0202dc60348190a140bb9da906f5b6 completed May 11, 2026, 4:25 p.m.
Created at: May 1, 2026, 1:48 a.m.