Triple

T32476348
Position Surface form Disambiguated ID Type / Status
Subject Kinugawa Onsen E829985 entity
Predicate transportAccessBy P197774 FINISHED
Object Tobu Railway NE NERFINISHED

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: Tobu Railway | Statement: [Kinugawa Onsen, transportAccessBy, Tobu Railway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transportAccessBy
Context triple: [Kinugawa Onsen, transportAccessBy, Tobu Railway]
  • A. transportAccessFrom
    Indicates that one location or entity has transportation access originating from another specified location or source.
  • B. transportAccessType
    Indicates the type or mode of transportation access available or used in a given context.
  • C. transportModeAccess
    Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
  • D. transportAssumption
    Indicates an assumption that something can be transported or carried from one place or context to another.
  • E. hasTransitAccessTo
    Indicates that one place or entity is reachable from another via public or shared transportation services.
  • 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_69f3491ff3b48190b50a7fa00bb05b1f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69feaa483fcc81909d8a46b38a8717bf completed May 9, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69fea8c9d45c81908ccc8619e5fefac1 completed May 9, 2026, 3:23 a.m.
PDg Predicate description generation batch_69feaa477f7c81909382b3aa77e7e11c completed May 9, 2026, 3:30 a.m.
Created at: May 1, 2026, 12:58 a.m.