Triple

T9823627
Position Surface form Disambiguated ID Type / Status
Subject Qionghai E238597 entity
Predicate locatedIn P40 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: [Qionghai, locatedIn, Hainan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hainan
Context triple: [Qionghai, locatedIn, 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. Hainan Hlai
    Hainan Hlai is a Kra–Dai language spoken primarily by the Li (Hlai) ethnic group on China’s Hainan Island.
  • C. Hainan Special Economic Zone
    Hainan Special Economic Zone is a major Chinese free-trade and investment zone encompassing the entire island province of Hainan, established to promote market-oriented economic reforms and international commerce.
  • D. Lingshui
    Lingshui is a coastal county-level city in southeastern Hainan, China, known for its tropical climate, beaches, and growing tourism industry.
  • E. Qizhou
    Qizhou is a historic town in Hubei, China, known as the birthplace of the famed Ming dynasty physician and pharmacologist Li Shizhen.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb316f8948190ada3738787a5cb6a completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f0c0c588190870b2145be187908 completed April 10, 2026, 6:56 a.m.
Created at: March 30, 2026, 8:31 p.m.