Triple

T5884283
Position Surface form Disambiguated ID Type / Status
Subject Hong Kong Government Cantonese Romanization E130822 entity
Predicate basedOn P98 FINISHED
Object Cantonese phonology E25452 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: Cantonese phonology | Statement: [Hong Kong Government Cantonese Romanization, basedOn, Cantonese phonology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cantonese phonology
Context triple: [Hong Kong Government Cantonese Romanization, basedOn, Cantonese phonology]
  • A. Mandarin phonology
    Mandarin phonology is the sound system of Standard Chinese, encompassing its consonants, vowels, tones, and syllable structure.
  • B. Cantonese chosen
    Cantonese is a major Chinese language variety spoken primarily in Guangdong province, Hong Kong, Macau, and among overseas Chinese communities worldwide.
  • C. Yale Cantonese
    Yale Cantonese is a widely used romanization system for Cantonese designed primarily for teaching pronunciation to English speakers.
  • D. Hong Kong Hakka
    Hong Kong Hakka is a regional variety of the Hakka Chinese language traditionally spoken by Hakka communities in Hong Kong, reflecting local phonological and lexical influences.
  • E. 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.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0367743508190bae211e9ce8f9690 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b13839f48190b23f22d5317eb571 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:57 p.m.