Triple

T7317856
Position Surface form Disambiguated ID Type / Status
Subject Hengyang E168458 entity
Predicate near P350 FINISHED
Object Mount Heng (Hengshan) E155945 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 Heng (Hengshan) | Statement: [Hengyang, near, Mount Heng (Hengshan)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Heng (Hengshan)
Context triple: [Hengyang, near, Mount Heng (Hengshan)]
  • A. Mount Heng (Hengshan, Hunan) chosen
    Mount Heng (Hengshan, Hunan) is one of China’s Five Great Mountains, renowned as a sacred center of Taoist worship and a historic site of temples and pilgrimage in Hunan Province.
  • B. Nanyue Hengshan
    Nanyue Hengshan is one of China’s Five Great Mountains, a major center of Taoist and Buddhist worship located in Hunan Province.
  • C. Tianshou Mountain
    Tianshou Mountain is a notable mountain in China, recognized for its scenic landscapes and cultural significance.
  • D. Lao Mountain
    Lao Mountain is a prominent coastal mountain range in eastern China known for its granite peaks, Taoist temples, and scenic views over the Yellow Sea.
  • E. Héngshān
    Héngshān is the pinyin name for Mount Heng in Hunan, one of China’s Five Great Mountains and an important site of Taoist and Buddhist worship.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef178b3081908cd0c62466069741 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa78d8e08190a5658f2df7fbf667 completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 3:02 p.m.