Triple

T21868624
Position Surface form Disambiguated ID Type / Status
Subject Sidney Lau Cantonese romanization E539946 entity
Predicate comparedWith P278 FINISHED
Object Cantonese Pinyin — NE NERFINISHED

How this triple was built (3 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: Cantonese Pinyin | Statement: [Sidney Lau Cantonese romanization, comparedWith, Cantonese Pinyin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cantonese Pinyin
Context triple: [Sidney Lau Cantonese romanization, comparedWith, Cantonese Pinyin]
  • A. Hanyu Pinyin
    Hanyu Pinyin is the official romanization system for Standard Mandarin Chinese, using the Latin alphabet to represent Chinese pronunciation.
  • B. Jyutping
    Jyutping is a Cantonese romanization system developed by the Linguistic Society of Hong Kong that uses Latin letters and numbers to represent Cantonese pronunciation.
  • C. Tongyong Pinyin
    Tongyong Pinyin is a romanization system for Mandarin Chinese that was once officially used in Taiwan as an alternative to Hanyu Pinyin.
  • D. Guangdong Romanization
    Guangdong Romanization is a Latin-based writing system developed to represent the sounds of Cantonese and other Yue Chinese dialects, primarily used in Guangdong province.
  • E. Hong Kong Government Cantonese Romanization
    Hong Kong Government Cantonese Romanization is an official system developed by the Hong Kong government for representing Cantonese sounds using the Latin alphabet, primarily for place names and administrative use.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cantonese Pinyin
Target entity description: Cantonese Pinyin is a romanization system for Cantonese that uses Latin letters to represent the language’s sounds, widely used in linguistic and educational contexts.
  • A. Hanyu Pinyin
    Hanyu Pinyin is the official romanization system for Standard Mandarin Chinese, using the Latin alphabet to represent Chinese pronunciation.
  • B. Jyutping chosen
    Jyutping is a Cantonese romanization system developed by the Linguistic Society of Hong Kong that uses Latin letters and numbers to represent Cantonese pronunciation.
  • C. Tongyong Pinyin
    Tongyong Pinyin is a romanization system for Mandarin Chinese that was once officially used in Taiwan as an alternative to Hanyu Pinyin.
  • D. Guangdong Romanization
    Guangdong Romanization is a Latin-based writing system developed to represent the sounds of Cantonese and other Yue Chinese dialects, primarily used in Guangdong province.
  • E. Hong Kong Government Cantonese Romanization
    Hong Kong Government Cantonese Romanization is an official system developed by the Hong Kong government for representing Cantonese sounds using the Latin alphabet, primarily for place names and administrative use.
  • F. None of above.

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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33305d081908cd070134420607a completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 6:57 p.m.