Triple

T8903755
Position Surface form Disambiguated ID Type / Status
Subject 蛇山 E211994 entity
Predicate 中文名 P4878 FINISHED
Object 蛇山 E211994 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: 蛇山 | Statement: [蛇山, 中文名, 蛇山]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 蛇山
Context triple: [蛇山, 中文名, 蛇山]
  • A. 蛇山 chosen
    蛇山 is a well-known hill in Wuhan, Hubei Province, China, noted for its scenic views over the Yangtze River and its historical and cultural significance.
  • B. 赤城山
    赤城山 is a prominent volcanic mountain in Japan’s Gunma Prefecture, famed for its caldera lakes, hiking trails, and frequent appearance in Japanese folklore and popular culture.
  • C. 武当山
    武当山是位于中国湖北省的著名道教名山和世界文化遗产，以其古建筑群和武当武术而闻名。
  • D. Xiaoguanyin Mountain
    Xiaoguanyin Mountain is a prominent volcanic peak within Taiwan’s Yangmingshan range, known for its rugged terrain and scenic hiking routes.
  • E. Yuejing Hill
    Yuejing Hill is one of the scenic hills within Guangzhou’s Yuexiu Park, known for its greenery, walking paths, and city views.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c2509881908fb692522d348e96 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba26bc7881908639e9a812dec894 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:55 p.m.