Triple

T1104363
Position Surface form Disambiguated ID Type / Status
Subject Cantonese E25452 entity
Predicate hasRomanizationStandard P23170 FINISHED
Object Jyutping E125420 NE FINISHED

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: Jyutping | Statement: [Cantonese, hasRomanizationStandard, Jyutping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jyutping
Context triple: [Cantonese, hasRomanizationStandard, Jyutping]
  • A. Cantonese
    Cantonese is a major Chinese language variety spoken primarily in Guangdong province, Hong Kong, Macau, and among overseas Chinese communities worldwide.
  • B. Teochew
    Teochew is a Southern Min Chinese dialect originating from the Chaoshan region of Guangdong, widely spoken in overseas Chinese communities across Southeast Asia.
  • C. Yale Cantonese chosen
    Yale Cantonese is a widely used romanization system for Cantonese designed primarily for teaching pronunciation to English speakers.
  • D. Taishanese
    Taishanese is a major Yue Chinese variety historically spoken in Taishan and nearby areas of Guangdong, known for its distinct phonology and for being the primary Chinese dialect among many early Chinese immigrants to North America.
  • E. Baybayin
    Baybayin is an ancient pre-colonial Philippine script used to write several native languages before the widespread adoption of the Latin alphabet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRomanizationStandard
Context triple: [Cantonese, hasRomanizationStandard, Jyutping]
  • A. hasRomanizationOf
    Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
  • B. hasRomanizationContrast
    Indicates that there is a meaningful difference between two or more romanized representations of the same original form.
  • C. hasStandardPronunciationBasedOn
    Indicates that one entity’s standard or canonical pronunciation is determined or derived from another entity’s pronunciation.
  • D. hasStandardOrthographySince
    Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
  • E. usesKatakanaFor
    Indicates that one entity is written or represented using katakana script in relation to another entity.
  • F. None of above. chosen

Provenance (5 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e1047481909af1cf8df2a01fff completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5391a4a88190b7ef6993b2b85b08 completed March 7, 2026, 4:34 p.m.
PD Predicate disambiguation batch_69a4b7472c848190b0643872f67084a2 completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b7da38888190a118ef20ce4ae9aa completed March 1, 2026, 10:04 p.m.
Created at: March 1, 2026, 7:43 p.m.