Triple

T2356914
Position Surface form Disambiguated ID Type / Status
Subject Tai–Kadai languages E47577 entity
Predicate includesLanguage P2177 FINISHED
Object Zhuang language 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: Zhuang language | Statement: [Tai–Kadai languages, includesLanguage, Zhuang language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhuang language
Context triple: [Tai–Kadai languages, includesLanguage, Zhuang language]
  • A. 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.
  • B. Siwu language
    The Siwu language is a Niger-Congo language spoken primarily in the Volta Region of Ghana by the Mawu people.
  • C. Miao languages
    The Miao languages are a group of Hmong-Mien (Miao-Yao) languages spoken primarily by the Miao people across southern China and parts of Southeast Asia.
  • D. Kaili language
    The Kaili language is an Austronesian language spoken primarily in Central Sulawesi, Indonesia, known for its multiple dialects and role as a regional lingua franca.
  • E. Jingpo language
    The Jingpo language is a Tibeto-Burman language spoken primarily by the Jingpo (Kachin) people in northern Myanmar and adjacent regions of China and India.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc71e0c68819082eebd80721abcc1 completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9638ef948190adf945aba42fac76 completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:54 p.m.