Triple

T1007296
Position Surface form Disambiguated ID Type / Status
Subject Indonesian E21742 entity
Predicate hasLoanwordsFrom P506 FINISHED
Object Chinese E57271 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: Chinese | Statement: [Indonesian, hasLoanwordsFrom, Chinese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chinese
Context triple: [Indonesian, hasLoanwordsFrom, Chinese]
  • A. Han Chinese
    The Han Chinese are the largest ethnic group in both China and the world, with a shared cultural heritage, language family, and historical identity rooted in ancient Chinese civilization.
  • B. China
    China is a vast East Asian country known for its long continuous civilization, large population, and major global economic and political influence.
  • C. Chinese language chosen
    The Chinese language is a family of related Sinitic languages and dialects, including Mandarin, Cantonese, and others, spoken by over a billion people primarily in China and across Chinese-speaking communities worldwide.
  • D. Xiang Chinese
    Xiang Chinese is a major Sinitic language variety spoken primarily in Hunan province and surrounding regions in south-central China.
  • E. Wu Chinese
    Wu Chinese is a major Sinitic language group spoken primarily in Shanghai, southern Jiangsu, and Zhejiang, known for its rich tonal system and significant phonological differences from Mandarin.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7570b388190ada9693935792a58 completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a21034081908ce6eb7d9827aba2 completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:41 p.m.