Triple

T10017162
Position Surface form Disambiguated ID Type / Status
Subject Hida Mountains E199523 entity
Predicate containsValley P650 FINISHED
Object Kamikochi 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 | Statement: [Hida Mountains, containsValley, Kamikochi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamikochi
Context triple: [Hida Mountains, containsValley, Kamikochi]
  • 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. Hakone
    Hakone is a popular hot spring resort town in Japan known for its views of Mount Fuji, scenic lakes, and traditional ryokan inns.
  • C. 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.
  • D. Niseko
    Niseko is a renowned ski resort area in northern Japan famous for its abundant light powder snow, extensive slopes, and vibrant international winter sports scene.
  • E. Nikko
    Nikko is a historic Japanese city in Tochigi Prefecture renowned for its ornate UNESCO-listed shrines, temples, and scenic mountainous landscapes.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4c17848190bf1a8017e755ba75 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26aa319508190b85b5a5f78603b6a completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:53 p.m.