Triple

T22602990
Position Surface form Disambiguated ID Type / Status
Subject Yoshinoyama area E574878 entity
Predicate region P40 FINISHED
Object Kii Mountains 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: Kii Mountains | Statement: [Yoshinoyama area, region, Kii Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kii Mountains
Context triple: [Yoshinoyama area, region, Kii Mountains]
  • A. Kii Mountains chosen
    The Kii Mountains are a rugged, forested mountain range on Japan’s Kii Peninsula, known for their sacred sites, pilgrimage routes, and heavy rainfall.
  • B. Azuma Mountains
    The Azuma Mountains are a volcanic mountain range in northeastern Japan known for their scenic landscapes, hot springs, and popular hiking routes.
  • C. Ikoma Mountains
    The Ikoma Mountains are a mountain range on the border of Osaka and Nara prefectures in Japan, known for their scenic views, hiking trails, and historical temples.
  • D. Akaishi Mountains
    The Akaishi Mountains, also known as part of Japan’s Southern Alps, are a prominent, rugged mountain range in central Honshu renowned for their high peaks and alpine landscapes.
  • E. Kitayama Mountains
    The Kitayama Mountains are a forested mountain range forming the northern backdrop of Kyoto, known historically for their timber and scenic landscapes.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626eb178819096866d03a78f82fc completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:50 p.m.