Triple

T2356933
Position Surface form Disambiguated ID Type / Status
Subject Tai–Kadai languages E47577 entity
Predicate spokenIn P2266 FINISHED
Object Hainan E37179 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: Hainan | Statement: [Tai–Kadai languages, spokenIn, Hainan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hainan
Context triple: [Tai–Kadai languages, spokenIn, Hainan]
  • A. Hainan chosen
    Hainan is a tropical island province in southern China known for its beaches, tourism, and status as a major special economic zone.
  • B. Fujian
    Fujian is a coastal province in southeastern China known for its significant role in Chinese migration, distinctive Min culture and dialects, and historic maritime trade.
  • C. Chuansha
    Chuansha is a subdistrict in Shanghai’s Pudong New Area known for its blend of traditional town features and rapidly developing urban infrastructure.
  • D. Taiwan, Province of China
    Taiwan, Province of China is a self-governed island territory in East Asia known for its advanced economy, vibrant democracy, and complex political status in relation to the People's Republic of China.
  • E. Guangdong Province
    Guangdong Province is a populous and economically vital coastal region in southern China, known for major cities like Guangzhou and Shenzhen and its role as a manufacturing and trade hub.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc71e0c68819082eebd80721abcc1 completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9638ef948190adf945aba42fac76 completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:54 p.m.