Triple

T21870294
Position Surface form Disambiguated ID Type / Status
Subject Central Mountain Range E539982 entity
Predicate contains P35 FINISHED
Object Xueshan 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: Xueshan | Statement: [Central Mountain Range, contains, Xueshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xueshan
Context triple: [Central Mountain Range, contains, Xueshan]
  • A. Xueshan chosen
    Xueshan is a prominent mountain in Taiwan known for its high elevation, alpine scenery, and popularity among hikers and mountaineers.
  • B. Xuedou Mountain
    Xuedou Mountain is a scenic and historically significant mountain area in Zhejiang Province, China, known for its Buddhist temples, waterfalls, and natural beauty.
  • C. Xishan
    Xishan is the given name of Yan Xishan, a prominent Chinese warlord and political leader active in Shanxi during the early 20th century.
  • D. Wanshou Shan
    Wanshou Shan, also known as Longevity Hill, is a prominent, scenic hill within Beijing’s Summer Palace complex, famed for its historic temples, pavilions, and panoramic views over Kunming Lake.
  • E. Liushi Shan
    Liushi Shan is a prominent high-altitude peak in western China, recognized as the highest summit in the Kunlun Mountains range.
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33509d08190b33775abb84d5255 completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 6:57 p.m.