Triple

T10947235
Position Surface form Disambiguated ID Type / Status
Subject Yoshida Trail E258627 entity
Predicate accessedFrom P1985 FINISHED
Object Kawaguchiko area E525719 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: Kawaguchiko area | Statement: [Yoshida Trail, accessedFrom, Kawaguchiko area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawaguchiko area
Context triple: [Yoshida Trail, accessedFrom, Kawaguchiko area]
  • A. Kuma Kōgen area
    The Kuma Kōgen area is a highland region in Ehime Prefecture, Japan, known for its mountainous landscapes, cool climate, and role as a gateway to outdoor activities and nearby peaks.
  • B. Fujikawaguchiko chosen
    Fujikawaguchiko is a Japanese resort town in Yamanashi Prefecture known for its views of Mount Fuji and Lake Kawaguchi, hot springs, and access to Fuji Five Lakes.
  • C. Hakone
    Hakone is a popular hot spring resort town in Japan known for its views of Mount Fuji, scenic lakes, and traditional ryokan inns.
  • D. Nikko
    Nikko is a historic Japanese city in Tochigi Prefecture renowned for its ornate UNESCO-listed shrines, temples, and scenic mountainous landscapes.
  • E. Kamikochi
    Kamikochi is a scenic highland valley in Japan’s Northern Alps renowned for its pristine river, mountain views, and popular hiking trails.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770eaaea08190b06e508600d8a305 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3c7fbf1e08190867151b624a2ee70 completed April 18, 2026, 6:05 p.m.
Created at: April 8, 2026, 9:23 p.m.