Triple

T20529706
Position Surface form Disambiguated ID Type / Status
Subject Xiaomeisha Sea World E504035 entity
Predicate partOf P40 FINISHED
Object Xiaomeisha resort area NE NERFINISHED

How this triple was built (3 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: Xiaomeisha resort area | Statement: [Xiaomeisha Sea World, partOf, Xiaomeisha resort area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiaomeisha resort area
Context triple: [Xiaomeisha Sea World, partOf, Xiaomeisha resort area]
  • A. Xikou Scenic Area
    Xikou Scenic Area is a renowned historical and natural tourist destination in Zhejiang Province, China, known for its picturesque landscapes and cultural sites associated with Chiang Kai-shek.
  • B. Huaxi Scenic Area
    Huaxi Scenic Area is a popular natural and leisure destination in Guizhou Province, China, known for its riverside landscapes, karst scenery, and park-like environment near Guiyang.
  • C. Bangchuidao Scenic Area
    Bangchuidao Scenic Area is a coastal resort and tourist attraction in Dalian, China, known for its picturesque island, beaches, and landscaped gardens overlooking the Yellow Sea.
  • D. Shidu Scenic Area
    Shidu Scenic Area is a popular river-valley tourist destination near Beijing, known for its karst landscapes, dramatic cliffs, and outdoor recreation activities such as rafting and hiking.
  • E. Emeishan scenic area
    Emeishan scenic area is a renowned tourist and cultural site on Mount Emei in Sichuan, China, celebrated for its sacred Buddhist temples, dramatic mountain landscapes, and rich natural biodiversity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xiaomeisha resort area
Target entity description: Xiaomeisha resort area is a coastal leisure and tourism district in Shenzhen, China, known for its beaches, marine attractions, and family-oriented recreational facilities.
  • A. Xikou Scenic Area
    Xikou Scenic Area is a renowned historical and natural tourist destination in Zhejiang Province, China, known for its picturesque landscapes and cultural sites associated with Chiang Kai-shek.
  • B. Huaxi Scenic Area
    Huaxi Scenic Area is a popular natural and leisure destination in Guizhou Province, China, known for its riverside landscapes, karst scenery, and park-like environment near Guiyang.
  • C. Bangchuidao Scenic Area
    Bangchuidao Scenic Area is a coastal resort and tourist attraction in Dalian, China, known for its picturesque island, beaches, and landscaped gardens overlooking the Yellow Sea.
  • D. Shidu Scenic Area
    Shidu Scenic Area is a popular river-valley tourist destination near Beijing, known for its karst landscapes, dramatic cliffs, and outdoor recreation activities such as rafting and hiking.
  • E. Emeishan scenic area
    Emeishan scenic area is a renowned tourist and cultural site on Mount Emei in Sichuan, China, celebrated for its sacred Buddhist temples, dramatic mountain landscapes, and rich natural biodiversity.
  • F. None of above. chosen

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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a069edf88190835a9c392c990c55 completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.