Triple

T17828727
Position Surface form Disambiguated ID Type / Status
Subject Kamikawa Subprefecture E445192 entity
Predicate contains P35 FINISHED
Object Furano 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: Furano | Statement: [Kamikawa Subprefecture, contains, Furano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Furano
Context triple: [Kamikawa Subprefecture, contains, 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. Towada
    Towada is a city in northern Japan known for its proximity to Lake Towada and the scenic Oirase Gorge.
  • C. 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.
  • D. 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.
  • E. Yonezawa
    Yonezawa is a city in southern Yamagata Prefecture, Japan, known for its historic castle town, high-quality Yonezawa beef, and snowy climate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4891696cc819092ee6db7c4a6fae1 completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.