Triple

T14237663
Position Surface form Disambiguated ID Type / Status
Subject Hokkaido Shinkansen E352926 entity
Predicate allowsFreightTrains P113339 FINISHED
Object yes (through Seikan Tunnel section) 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: yes (through Seikan Tunnel section) | Statement: [Hokkaido Shinkansen, allowsFreightTrains, yes (through Seikan Tunnel section)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allowsFreightTrains
Context triple: [Hokkaido Shinkansen, allowsFreightTrains, yes (through Seikan Tunnel section)]
  • A. usesRollingStockCompatibleWith
    Indicates that one entity operates using rolling stock that is technically and operationally compatible with the rolling stock standards or systems associated with another entity.
  • B. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • C. usesRollingStock
    Indicates that one entity employs or operates specific rolling stock (such as rail vehicles) in its activities or services.
  • D. hasRailFacility
    Indicates that an entity possesses or is served by a rail-related facility, such as a railway station, terminal, or yard.
  • E. hasRailMode
    Indicates that an entity is associated with or supports transportation via rail-based modes (such as trains, trams, or subways).
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62422e28819089e7115052a28c96 completed April 14, 2026, 3:50 p.m.
PD Predicate disambiguation batch_69de05bf069c8190b69f00f00f5eb126 completed April 14, 2026, 9:15 a.m.
PDg Predicate description generation batch_69de239a02e881909b0e2679487e4ab2 completed April 14, 2026, 11:23 a.m.
Created at: April 10, 2026, 1:08 a.m.