Triple

T9779978
Position Surface form Disambiguated ID Type / Status
Subject Sanya Phoenix International Airport E237341 entity
Predicate near P350 FINISHED
Object Sanya city center E238596 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: Sanya city center | Statement: [Sanya Phoenix International Airport, near, Sanya city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanya city center
Context triple: [Sanya Phoenix International Airport, near, Sanya city center]
  • A. Sanya chosen
    Sanya is a major resort city on the southern coast of China’s Hainan Island, known for its tropical climate and popular beach tourism.
  • B. Haikou
    Haikou is the capital and largest city of China’s Hainan Province, known as a key port, commercial hub, and tropical coastal destination.
  • C. Shangri-La City
    Shangri-La City is a county-level city in northwestern Yunnan, China, known for its Tibetan cultural heritage, high-altitude landscapes, and role as a gateway to nearby national parks and Himalayan scenery.
  • D. Xingsha
    Xingsha is a town in Changsha County, Hunan Province, China, known as the modern urban area closest to the famous Mawangdui Han Tombs archaeological site.
  • E. Xiaomeisha Sea World
    Xiaomeisha Sea World is a popular marine theme park and aquarium in Shenzhen, China, featuring ocean animal exhibits, performances, and recreational attractions near Xiaomeisha Beach.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b0b15881909ef52d0156148c59 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd28b0e48190984cf44d88f324d7 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:27 p.m.