Triple

T2105319
Position Surface form Disambiguated ID Type / Status
Subject Hainan E37179 entity
Predicate touristDestination P530 FINISHED
Object Wuzhi Mountain E233741 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: Wuzhi Mountain | Statement: [Hainan, touristDestination, Wuzhi Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuzhi Mountain
Context triple: [Hainan, touristDestination, Wuzhi Mountain]
  • A. Yufeng Mountain
    Yufeng Mountain is a scenic, historically significant mountain and popular tourist destination located near Liuzhou in China’s Guangxi region.
  • B. Qixing Mountain
    Qixing Mountain is a prominent volcanic peak in northern Taiwan known for its scenic hiking trails and panoramic views over Taipei.
  • C. Wudang Mountains
    The Wudang Mountains are a renowned Taoist sacred mountain range in central China, famous for its ancient temples, monasteries, and as a historic center of internal martial arts such as Tai Chi.
  • D. Wuyi Mountains
    The Wuyi Mountains are a scenic mountain range in southeastern China renowned for their dramatic river gorges, biodiversity, and production of famous oolong teas.
  • E. Wuzhishan chosen
    Wuzhishan is a county-level city in central Hainan, China, known for its mountainous terrain and tropical rainforest environment.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbadcd4a081909d60b9b241950335 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae518fb0b4819096a8ce455e22661a completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:43 p.m.