Triple

T10383710
Position Surface form Disambiguated ID Type / Status
Subject Southern Alps E244705 entity
Predicate hasPeakOver3000m P93893 FINISHED
Object Mount Warusawa E866062 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: Mount Warusawa | Statement: [Southern Alps, hasPeakOver3000m, Mount Warusawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Warusawa
Context triple: [Southern Alps, hasPeakOver3000m, Mount Warusawa]
  • A. Mount Warusawa chosen
    Mount Warusawa is a prominent high peak in Japan’s Southern Alps, known for its rugged terrain and popularity among experienced hikers and mountaineers.
  • B. Mount Utsugi
    Mount Utsugi is a prominent peak in Japan’s Kiso Mountains, known for its alpine scenery and popular hiking routes.
  • C. Mount Otokoyama
    Mount Otokoyama is a low, wooded hill in Yawata, Kyoto Prefecture, known as a sacred site and scenic viewpoint overlooking the Yodo River area.
  • D. Mount Yuzuruha
    Mount Yuzuruha is the tallest mountain on Japan’s Awaji Island, known for its scenic views over the surrounding Seto Inland Sea region.
  • E. Mount Tsurumi
    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.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb99ef088190b64661b2f42c320e completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69de8413f30c8190aebe1504e213b6cc completed April 14, 2026, 6:14 p.m.
Created at: April 6, 2026, 12:04 p.m.