Triple

T33077054
Position Surface form Disambiguated ID Type / Status
Subject スカイライナー E846393 entity
Predicate 運行路線 P21808 FINISHED
Object 京成本線 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: 京成本線 | Statement: [スカイライナー, 運行路線, 京成本線]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 運行路線
Context triple: [スカイライナー, 運行路線, 京成本線]
  • A. operatedRoutes
    Indicates that an agent (such as a company or organization) runs or manages specific routes, typically providing services along those paths.
  • B. routeOf
    Indicates that one entity is the path, course, or trajectory taken or followed by another entity (such as a vehicle, shipment, or signal).
  • C. operatedOnRoute chosen
    Indicates that a transportation service or vehicle was active and provided service along a specified route.
  • D. situatedOnTransportRoute
    Indicates that one entity is located along, on, or directly adjacent to a specified transport route (such as a road, railway, or shipping lane).
  • E. isPublicTransportRoute
    Indicates that a given route is designated and operated as part of a public transportation system available for general use.
  • 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_69f3495405b88190967af2157b43b896 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d6a6b04c8190bee4cf9c00665ef7 completed May 3, 2026, 5:01 a.m.
PD Predicate disambiguation batch_69f6d27120988190aacec621cf2bf0e8 completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:25 a.m.