Triple

T2105276
Position Surface form Disambiguated ID Type / Status
Subject Hainan E37179 entity
Predicate hasCity P316 FINISHED
Object Qionghai
Qionghai is a county-level city in eastern Hainan, China, known for its tropical climate, coastal scenery, and the Bo'ao Forum for Asia.
 E238597 NE FINISHED

How this triple was built (4 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: Qionghai | Statement: [Hainan, hasCity, Qionghai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qionghai
Context triple: [Hainan, hasCity, Qionghai]
  • A. Diqing
    Diqing is an autonomous prefecture in northwestern Yunnan Province, China, known for its Tibetan culture, high-altitude landscapes, and proximity to the eastern Himalayas.
  • B. Wuzhishan
    Wuzhishan is a county-level city in central Hainan, China, known for its mountainous terrain and tropical rainforest environment.
  • C. Honghe
    Honghe is an autonomous prefecture-level region in southern Yunnan Province, China, known for its diverse ethnic minority populations and famous terraced rice fields.
  • D. Beixiu Lake
    Beixiu Lake is a scenic body of water located within Yuexiu Park, a major urban park and tourist attraction in Guangzhou, China.
  • E. Yangsansi
    Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Qionghai
Triple: [Hainan, hasCity, Qionghai]
Generated description
Qionghai is a county-level city in eastern Hainan, China, known for its tropical climate, coastal scenery, and the Bo'ao Forum for Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qionghai
Target entity description: Qionghai is a county-level city in eastern Hainan, China, known for its tropical climate, coastal scenery, and the Bo'ao Forum for Asia.
  • A. Diqing
    Diqing is an autonomous prefecture in northwestern Yunnan Province, China, known for its Tibetan culture, high-altitude landscapes, and proximity to the eastern Himalayas.
  • B. Wuzhishan
    Wuzhishan is a county-level city in central Hainan, China, known for its mountainous terrain and tropical rainforest environment.
  • C. Honghe
    Honghe is an autonomous prefecture-level region in southern Yunnan Province, China, known for its diverse ethnic minority populations and famous terraced rice fields.
  • D. Beixiu Lake
    Beixiu Lake is a scenic body of water located within Yuexiu Park, a major urban park and tourist attraction in Guangzhou, China.
  • E. Yangsansi
    Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
  • F. None of above. chosen

Provenance (5 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_69ae58ca5bc88190abc61e3a6140f668 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae597198b88190b0253aa121ed35e1 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae59ff1234819083bbfdce270cb584 completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:43 p.m.