Triple

T2973325
Position Surface form Disambiguated ID Type / Status
Subject Nagano Prefecture E80334 entity
Predicate hasJapaneseName P9882 FINISHED
Object 長野県 E80334 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: 長野県 | Statement: [Nagano Prefecture, hasJapaneseName, 長野県]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 長野県
Context triple: [Nagano Prefecture, hasJapaneseName, 長野県]
  • A. Nagano Prefecture chosen
    Nagano Prefecture is a mountainous region in central Japan renowned for its ski resorts, natural scenery, and role as the venue of the 1998 Winter Olympics.
  • B. Yamanashi Prefecture
    Yamanashi Prefecture is a landlocked region in central Honshu, Japan, known for Mount Fuji, fruit production (especially grapes and peaches), and its scenic mountains and hot springs.
  • C. Yamagata Prefecture
    Yamagata Prefecture is a largely rural prefecture in Japan’s Tōhoku region, known for its mountains, hot springs, and cherry production.
  • D. Gunma Prefecture
    Gunma Prefecture is a landlocked region in central Japan known for its mountains, hot springs, and proximity to the Tokyo metropolitan area.
  • E. Toyama Prefecture
    Toyama Prefecture is a coastal prefecture on Japan’s main island of Honshu, known for its dramatic Tateyama Mountain Range, deep snow corridors, and rich traditional crafts and seafood.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9987bb6c8190adfb447b76276962 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d5a92795cc819087578d02c2c791e4 completed April 8, 2026, 1:02 a.m.
Created at: March 8, 2026, 2:58 p.m.