Triple

T13433014
Position Surface form Disambiguated ID Type / Status
Subject National Route 37 E320158 entity
Predicate connects P390 FINISHED
Object Tōyako resort area E1040667 NE 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: Tōyako resort area | Statement: [National Route 37, connects, Tōyako resort area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tōyako resort area
Context triple: [National Route 37, connects, Tōyako resort area]
  • A. Niseko
    Niseko is a renowned ski resort area in northern Japan famous for its abundant light powder snow, extensive slopes, and vibrant international winter sports scene.
  • B. Tōyako chosen
    Tōyako is a town in Hokkaido, Japan, known for its scenic Lake Tōya, hot spring resorts, and volcanic landscapes within Shikotsu-Toya National Park.
  • C. Yuzawa
    Yuzawa is a Japanese city best known for its hot springs and ski resorts, making it a popular winter tourism destination.
  • D. Tōyako Lake area
    The Tōyako Lake area is a scenic region in Hokkaido, Japan, known for its caldera lake, hot spring resorts, and views of the active volcano Mount Usu.
  • E. Toyako Onsen
    Toyako Onsen is a renowned hot spring resort town on the shores of Lake Tōya in Hokkaido, Japan, famous for its scenic lakeside views, frequent fireworks, and access to volcanic landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaed41a5481908800033303224adb completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ad5c68881908264947993bc7811 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:40 p.m.