Triple

T1603657
Position Surface form Disambiguated ID Type / Status
Subject Hakka E34449 entity
Predicate hasDialect P4251 FINISHED
Object Fengshun 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: Fengshun Hakka | Statement: [Hakka, hasDialect, Fengshun Hakka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fengshun Hakka
Context triple: [Hakka, hasDialect, Fengshun Hakka]
  • A. Hakka people
    The Hakka people are a Han Chinese subgroup known for their distinct language, migratory history, and rich cultural traditions spread across southern China and the global Chinese diaspora.
  • B. 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.
  • C. Luo people
    The Luo people are a Nilotic ethnic group of East Africa, primarily found in western Kenya and northern Tanzania, known for their rich oral traditions, fishing culture, and significant influence in regional politics and society.
  • D. Hakka chosen
    Hakka is a Sinitic language spoken primarily by the Hakka people across southern China and various overseas Chinese communities.
  • E. Qiang people
    The Qiang people are an ethnic minority group in China known for their ancient culture, distinctive stone-built mountain villages, and unique language and religious traditions.
  • 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_69ad58c1d9ac819085e497b630a99d96 completed March 8, 2026, 11:08 a.m.
Created at: March 4, 2026, 7:28 p.m.