Triple

T1365977
Position Surface form Disambiguated ID Type / Status
Subject Riau Islands E30003 entity
Predicate localLanguage P1252 FINISHED
Object Hakka Chinese 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: Hakka Chinese | Statement: [Riau Islands, localLanguage, Hakka Chinese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hakka Chinese
Context triple: [Riau Islands, localLanguage, Hakka Chinese]
  • A. Hakka chosen
    Hakka is a Sinitic language spoken primarily by the Hakka people across southern China and various overseas Chinese communities.
  • 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. Siwu language
    The Siwu language is a Niger-Congo language spoken primarily in the Volta Region of Ghana by the Mawu people.
  • D. Jiaoliao Mandarin
    Jiaoliao Mandarin is a regional variety of Mandarin Chinese spoken primarily in the Jiaodong and Liaodong peninsulas of northeastern China.
  • E. Yue Chinese
    Yue Chinese is a major branch of the Chinese language family, best known internationally through its prominent variety Cantonese spoken in southern China and among overseas Chinese communities.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d1d15481909d58b6fd8aa2e585 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47f25c48190a27f87909c15d7c3 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:57 p.m.