Triple

T1603653
Position Surface form Disambiguated ID Type / Status
Subject Hakka E34449 entity
Predicate hasDialect P4251 FINISHED
Object Meixian Hakka E34449 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: Meixian Hakka | Statement: [Hakka, hasDialect, Meixian Hakka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meixian Hakka
Context triple: [Hakka, hasDialect, Meixian Hakka]
  • A. Teochew
    Teochew is a Southern Min Chinese dialect originating from the Chaoshan region of Guangdong, widely spoken in overseas Chinese communities across Southeast Asia.
  • B. Siwu language
    The Siwu language is a Niger-Congo language spoken primarily in the Volta Region of Ghana by the Mawu people.
  • C. Hakka chosen
    Hakka is a Sinitic language spoken primarily by the Hakka people across southern China and various overseas Chinese communities.
  • D. Hui people
    The Hui people are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • E. Taiwanese Hokkien
    Taiwanese Hokkien is a Southern Min Chinese language variety widely spoken in Taiwan, where it serves as a major vernacular and cultural language alongside Mandarin.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9094f96ec819090286c21b3dfddd5 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46ae8ef08190acf018f1db4bfa7c completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:28 p.m.