Triple

T16583486
Position Surface form Disambiguated ID Type / Status
Subject Huizhou Chinese E402894 entity
Predicate hasDialect P4251 FINISHED
Object Jixi dialect E402895 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: Jixi dialect | Statement: [Huizhou Chinese, hasDialect, Jixi dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jixi dialect
Context triple: [Huizhou Chinese, hasDialect, Jixi dialect]
  • A. Shexian dialect chosen
    The Shexian dialect is a variety of Chinese belonging to the Huizhou group, traditionally spoken in and around She County in Anhui Province.
  • B. Chaoshan dialect
    The Chaoshan dialect, also known as Teochew, is a Southern Min Chinese variety spoken primarily in the Chaoshan region of eastern Guangdong and by large overseas Chinese communities in Southeast Asia and beyond.
  • C. Lengteng dialect
    The Lengteng dialect is a regional variety of the Falam Chin language spoken by Chin communities in parts of Myanmar.
  • D. Wuming dialect
    The Wuming dialect is a major variety of the Zhuang language that serves as the basis for its standardized form.
  • E. Meixian dialect
    The Meixian dialect is a major variety of Hakka Chinese spoken in Meixian District, Guangdong, and often regarded as the standard form of the Hakka language.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35999f80c8190852fd4137bc45a80 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ef2d6048190954144ab848760ec completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:16 a.m.