Triple

T10545210
Position Surface form Disambiguated ID Type / Status
Subject Mount Hotaka E248798 entity
Predicate viewOf P854 FINISHED
Object Kamikochi valley E244707 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: Kamikochi valley | Statement: [Mount Hotaka, viewOf, Kamikochi valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamikochi valley
Context triple: [Mount Hotaka, viewOf, Kamikochi valley]
  • A. Kamikochi chosen
    Kamikochi is a scenic highland valley in Japan’s Northern Alps renowned for its pristine river, mountain views, and popular hiking trails.
  • B. Hakuba Valley
    Hakuba Valley is a renowned Japanese ski and outdoor recreation area in the Northern Alps, famous for its world-class winter sports, scenic mountain landscapes, and role as a host venue during the 1998 Nagano Winter Olympics.
  • C. 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.
  • D. Tateyama
    Tateyama is a coastal city in southern Chiba Prefecture, Japan, known for its mild climate, beaches, and views of Mount Fuji across Tokyo Bay.
  • E. Hakone
    Hakone is a popular hot spring resort town in Japan known for its views of Mount Fuji, scenic lakes, and traditional ryokan inns.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d519128cac819086c93f3bab854ac2 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b23b2988190b536d5ecb76298ff completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:33 p.m.