Triple

T13299521
Position Surface form Disambiguated ID Type / Status
Subject Central Tai E316769 entity
Predicate hasLanguage P15 FINISHED
Object Xiangzhou Zhuang E126954 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: Xiangzhou Zhuang | Statement: [Central Tai, hasLanguage, Xiangzhou Zhuang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiangzhou Zhuang
Context triple: [Central Tai, hasLanguage, Xiangzhou Zhuang]
  • A. Zhuang
    Zhuang is the posthumous name of King Zhuang of Chu, a prominent and powerful ruler of the ancient Chinese state of Chu during the Spring and Autumn period.
  • B. Siwu language
    The Siwu language is a Niger-Congo language spoken primarily in the Volta Region of Ghana by the Mawu people.
  • C. Wuhua Hakka
    Wuhua Hakka is a regional variety of the Hakka Chinese language spoken primarily in Wuhua County, Guangdong, known for its distinctive phonological and lexical features.
  • D. Teochew
    Teochew is a Southern Min Chinese dialect originating from the Chaoshan region of Guangdong, widely spoken in overseas Chinese communities across Southeast Asia.
  • E. Zhuang language chosen
    The Zhuang language is a Tai-Kadai language spoken primarily by the Zhuang ethnic group in Guangxi and surrounding regions of southern China.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a43ed88190a8dbbbd7d6d62dc4 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716dd0cd88190b0ae81b402fc31cf completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.