Triple

T20567427
Position Surface form Disambiguated ID Type / Status
Subject Ksitigarbha E504999 entity
Predicate cultCenter P9995 FINISHED
Object Mount Jiuhua 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 Jiuhua | Statement: [Ksitigarbha, cultCenter, Mount Jiuhua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Jiuhua
Context triple: [Ksitigarbha, cultCenter, Mount Jiuhua]
  • A. Mount Jiuhua chosen
    Mount Jiuhua is one of China’s four sacred Buddhist mountains, renowned as a major pilgrimage site associated with the bodhisattva Kṣitigarbha (Dizang).
  • B. Mount Huangbo
    Mount Huangbo is a mountain in Fujian, China, historically renowned as a center of Chan (Zen) Buddhism and the site where the influential Zen master Huangbo Xiyun taught.
  • C. Yuquan Mountain
    Yuquan Mountain is a scenic mountain area in China renowned for its natural springs, lush landscapes, and cultural significance.
  • D. Mount Sanqing
    Mount Sanqing is a renowned Taoist sacred mountain and UNESCO World Heritage-listed scenic area in Jiangxi Province, China, celebrated for its dramatic granite peaks, ancient temples, and mist-shrouded landscapes.
  • E. Jiugong Mountain
    Jiugong Mountain is a scenic mountainous area in Hubei Province, China, known for its natural beauty, Buddhist temples, and popular hiking routes.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a33f7c8190966da03528dfe8aa completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.