Triple

T20938268
Position Surface form Disambiguated ID Type / Status
Subject Rokkodai campus E515644 entity
Predicate near P350 FINISHED
Object Mount Rokko 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 Rokko | Statement: [Rokkodai campus, near, Mount Rokko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Rokko
Context triple: [Rokkodai campus, near, Mount Rokko]
  • A. Mount Rokko chosen
    Mount Rokko is a prominent mountain range near Kobe, Japan, known for its panoramic night views, hiking trails, and recreational facilities.
  • B. Mount Aoba
    Mount Aoba is a Japanese volcano whose name has been used for various ships and locations, reflecting its cultural and geographical significance in Japan.
  • 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 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.
  • E. Mount Katsuragi
    Mount Katsuragi is a mountain on the border of Nara and Osaka Prefectures in Japan, known for its scenic hiking trails and seasonal flower displays, especially azaleas.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f95419a48190b7f62abc59f38bef completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:50 p.m.