Triple

T16404751
Position Surface form Disambiguated ID Type / Status
Subject Beppu Ropeway E398396 entity
Predicate locatedOn P40 FINISHED
Object Mount Tsurumi 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 Tsurumi | Statement: [Beppu Ropeway, locatedOn, Mount Tsurumi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Tsurumi
Context triple: [Beppu Ropeway, locatedOn, Mount Tsurumi]
  • A. Mount Tsurumi chosen
    Mount Tsurumi is a volcanic mountain in Ōita Prefecture, Japan, known for its panoramic views, seasonal foliage, and ropeway access from the hot spring resort city of Beppu.
  • B. Mount Tsurugi
    Mount Tsurugi is a prominent peak on Japan’s Shikoku Island, renowned for its scenic alpine landscapes, hiking trails, and cultural significance in Japanese mountain worship.
  • C. Mount Tairyu
    Mount Tairyu is a mountain in Tokushima Prefecture, Japan, best known as the site of Tairyuji, the 21st temple on the Shikoku Pilgrimage.
  • D. Mount Goryu
    Mount Goryu is a prominent peak in Japan’s Northern Alps, known for its ski resorts and alpine hiking within the Hakuba Valley area.
  • E. Mount Suiro
    Mount Suiro is the tallest mountain on Biliran Island in the Philippines, forming a prominent part of the island’s volcanic landscape.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d1f16481909adb19dab86dcc72 completed April 18, 2026, 6:42 a.m.
Created at: April 10, 2026, 5:09 a.m.