Triple

T5239691
Position Surface form Disambiguated ID Type / Status
Subject Dameisha Beach E118307 entity
Predicate near P350 FINISHED
Object Wutong Mountain E504233 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: Wutong Mountain | Statement: [Dameisha Beach, near, Wutong Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wutong Mountain
Context triple: [Dameisha Beach, near, Wutong Mountain]
  • A. Wutong Mountain chosen
    Wutong Mountain is a prominent scenic peak in Shenzhen, China, known for its hiking trails, lush forests, and panoramic views over the city and coastline.
  • B. Tianshou Mountain
    Tianshou Mountain is a notable mountain in China, recognized for its scenic landscapes and cultural significance.
  • C. Yufeng Mountain
    Yufeng Mountain is a scenic, historically significant mountain and popular tourist destination located near Liuzhou in China’s Guangxi region.
  • 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. Xiaoguanyin Mountain
    Xiaoguanyin Mountain is a prominent volcanic peak within Taiwan’s Yangmingshan range, known for its rugged terrain and scenic hiking routes.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2a52fc8190a22631e1853c74a3 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1873a8608190b07f1152df8e2e5d completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:49 p.m.