Triple

T10958999
Position Surface form Disambiguated ID Type / Status
Subject Ng E258916 entity
Predicate languageOfRomanization P42524 FINISHED
Object Cantonese E25452 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: Cantonese | Statement: [Ng, languageOfRomanization, Cantonese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cantonese
Context triple: [Ng, languageOfRomanization, Cantonese]
  • A. Cantonese chosen
    Cantonese is a major Chinese language variety spoken primarily in Guangdong province, Hong Kong, Macau, and among overseas Chinese communities worldwide.
  • B. 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.
  • C. Teochew
    Teochew is a Southern Min Chinese dialect originating from the Chaoshan region of Guangdong, widely spoken in overseas Chinese communities across Southeast Asia.
  • D. Taiwanese Hakka
    Taiwanese Hakka is a variety of the Hakka Chinese language spoken primarily by Hakka communities in Taiwan, characterized by distinct phonological and lexical features compared to other Hakka dialects.
  • E. Huizhou Chinese
    Huizhou Chinese is a distinctive group of Sinitic dialects spoken in the Huizhou region of southern Anhui, noted for its phonological complexity and significant divergence from Mandarin and other major Chinese varieties.
  • 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: languageOfRomanization
Context triple: [Ng, languageOfRomanization, Cantonese]
  • A. hasRomanizationOf
    Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
  • B. hasRomanizationStandard
    Indicates that an entity’s romanized form follows a specified romanization standard or system.
  • C. hasHakkaRomanization
    Indicates that an entity is associated with a specific representation of its name or term in Hakka Romanization.
  • D. romanizationOccurred
    Indicates that a process of converting text from one writing system into the Roman (Latin) alphabet has taken place.
  • E. transliterationLanguage chosen
    Indicates the language whose writing system is used as the target when converting text from one script to another.
  • F. None of above.

Provenance (4 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77127b10481908ad1efafb2a338d1 completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d751e8e081908f31ab2d82105c3c completed April 18, 2026, 12:58 a.m.
PD Predicate disambiguation batch_69d72e874f48819096ffa878f90c7d5b completed April 9, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:23 p.m.