Triple

T13285504
Position Surface form Disambiguated ID Type / Status
Subject Hokkaido Expressway E316432 entity
Predicate hasSnowCountermeasures P94610 FINISHED
Object yes 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 | Statement: [Hokkaido Expressway, hasSnowCountermeasures, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSnowCountermeasures
Context triple: [Hokkaido Expressway, hasSnowCountermeasures, yes]
  • A. hasSnowAndIce
    Indicates that the subject is covered with or contains both snow and ice.
  • B. hasSnowfall
    Indicates that a location or area experiences or contains snowfall.
  • C. hasSnowRemovalOperations chosen
    Indicates that an entity performs, manages, or is associated with activities related to removing snow from a specified area or infrastructure.
  • D. hasSnowIn
    Indicates that snow is present or occurs within a specified location or region.
  • E. hasSnowAndIceSource
    Indicates that something derives its origin, supply, or input from a source consisting of snow and ice.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f6535688190a5a4549b7be2d611 completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:27 p.m.