Triple

T12327153
Position Surface form Disambiguated ID Type / Status
Subject Nanping E293860 entity
Predicate hasCountyLevelCity P27799 FINISHED
Object Wuyishan E796900 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: Wuyishan | Statement: [Nanping, hasCountyLevelCity, Wuyishan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuyishan
Context triple: [Nanping, hasCountyLevelCity, Wuyishan]
  • A. Wuzhishan
    Wuzhishan is a county-level city in central Hainan, China, known for its mountainous terrain and tropical rainforest environment.
  • B. Wuyishan City chosen
    Wuyishan City is a county-level city in Fujian Province, China, renowned for its dramatic Danxia landforms, tea culture, and the UNESCO World Heritage–listed Wuyi Mountains.
  • C. Qianhu Mountain
    Qianhu Mountain is a scenic peak located within the UNESCO-listed Three Parallel Rivers of Yunnan Protected Areas in southwestern China, known for its rugged terrain and rich biodiversity.
  • D. Langting
    Langting is a small town in the Dima Hasao (formerly North Cachar Hills) district of Assam, India, known as a local administrative and transport hub in the hilly region.
  • E. 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.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4f90a881908c5060dd197744d1 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8f0c708190ac16a391089ab747 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.