Triple

T18969045
Position Surface form Disambiguated ID Type / Status
Subject Guyuan E464116 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Standard Chinese NE NERFINISHED

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: Standard Chinese | Statement: [Guyuan, hasOfficialLanguage, Standard Chinese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard Chinese
Context triple: [Guyuan, hasOfficialLanguage, Standard Chinese]
  • A. Standard Chinese chosen
    Standard Chinese is the official standardized form of the Chinese language, based primarily on the Beijing dialect of Mandarin and used as the national lingua franca of China.
  • B. Mandarin Chinese
    Mandarin Chinese is the most widely spoken variety of Chinese and a major world language used across mainland China, Taiwan, and many overseas Chinese communities.
  • C. Simplified Chinese
    Simplified Chinese is a standardized form of written Chinese that uses characters with reduced strokes, primarily employed in mainland China and Singapore.
  • D. Hanyu
    Hanyu is a Chinese given name shared by various individuals, including notable figures in fields such as acting, sports, and academia.
  • E. Standard Shina
    Standard Shina is the principal variety of the Shina language spoken in Gilgit and surrounding regions of northern Pakistan, serving as a major lingua franca and reference dialect for Shina speakers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d618e2ec8190848a41733e6db2f1 completed April 20, 2026, 7:30 a.m.
Created at: April 10, 2026, noon