Triple

T15499663
Position Surface form Disambiguated ID Type / Status
Subject Shaoguan E378915 entity
Predicate near P350 FINISHED
Object Danxia Mountain E1160117 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: Danxia Mountain | Statement: [Shaoguan, near, Danxia Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danxia Mountain
Context triple: [Shaoguan, near, Danxia Mountain]
  • A. Danxia Mountain chosen
    Danxia Mountain is a renowned UNESCO World Heritage Site in Guangdong, China, famous for its striking red sandstone landforms and dramatic Danxia topography.
  • B. Tianyi Rock
    Tianyi Rock is a famous scenic rock formation and cultural attraction located along the Nanxi River in Zhejiang Province, China.
  • C. Jinfoshan Karst
    Jinfoshan Karst is a renowned karst landscape in southwestern China, noted for its dramatic limestone peaks, caves, and rich biodiversity within a UNESCO World Heritage–listed region.
  • D. Wulong Karst
    Wulong Karst is a renowned karst landscape in China’s Chongqing municipality, famous for its dramatic natural stone bridges, deep gorges, and sinkholes, and recognized as a UNESCO World Heritage Site.
  • E. Zao Mountains
    Zao Mountains is a volcanic mountain range in northeastern Japan known for its ski resorts, hot springs, and the crater lake Okama.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4a9bf88190b7c6b4874abe165f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:54 a.m.