Triple

T21927256
Position Surface form Disambiguated ID Type / Status
Subject Nada-ku E541472 entity
Predicate locatedNear P294 FINISHED
Object Mount Rokkō 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: Mount Rokkō | Statement: [Nada-ku, locatedNear, Mount Rokkō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Rokkō
Context triple: [Nada-ku, locatedNear, Mount Rokkō]
  • A. Mount Wakakusa
    Mount Wakakusa is a gently sloping, grass-covered hill in Nara, Japan, known for its panoramic city views and the annual Wakakusa Yamayaki fire festival.
  • B. Mount Rokko chosen
    Mount Rokko is a prominent mountain range near Kobe, Japan, known for its panoramic night views, hiking trails, and recreational facilities.
  • C. Mount Ōmine
    Mount Ōmine is a sacred mountain in Japan’s Nara Prefecture, renowned as a major center of Shugendō mountain asceticism and a UNESCO World Heritage pilgrimage site.
  • D. Mount Takao
    Mount Takao is a popular, easily accessible mountain near Tokyo known for its scenic hiking trails, temples, and seasonal foliage.
  • E. Mount Minobu
    Mount Minobu is a sacred mountain in Yamanashi Prefecture, Japan, best known as the spiritual center of Nichiren Buddhism and the site of Kuon-ji Temple where the monk Nichiren spent his later years.
  • 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fc188481909c74fd5f1bd52258 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:46 p.m.