Triple

T3619262
Position Surface form Disambiguated ID Type / Status
Subject Daisetsuzan National Park E76681 entity
Predicate containsMunicipality P852 FINISHED
Object Furano E95894 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: Furano | Statement: [Daisetsuzan National Park, containsMunicipality, Furano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Furano
Context triple: [Daisetsuzan National Park, containsMunicipality, Furano]
  • A. Furano chosen
    Furano is a popular town in central Hokkaido, Japan, known for its scenic ski slopes in winter and vibrant lavender fields in summer.
  • B. Biei
    Biei is a picturesque rural town in Hokkaido, Japan, famed for its rolling patchwork hills, flower fields, and scenic landscapes that attract photographers and tourists year-round.
  • C. Lacco Ameno
    Lacco Ameno is a small coastal town on the Italian island of Ischia, known for its thermal spas, picturesque harbor, and distinctive mushroom-shaped rock in the sea.
  • D. Kushiro
    Kushiro is a coastal city in eastern Hokkaido, Japan, known for its large fishing port, cool maritime climate, and nearby wetlands rich in wildlife such as red-crowned cranes.
  • E. Tomakomai
    Tomakomai is an industrial port city on the southern coast of Hokkaido, Japan, known for its paper manufacturing, shipping, and ferry connections.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2b72b3481909f4a09000d1815d9 completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4dcd15c8190a763363adb7740c4 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:23 p.m.