Triple

T23088615
Position Surface form Disambiguated ID Type / Status
Subject Sangzhi County E575681 entity
Predicate languageUsed P238 FINISHED
Object Tujia language NE NERFINISHED

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: Tujia language | Statement: [Sangzhi County, languageUsed, Tujia language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tujia language
Context triple: [Sangzhi County, languageUsed, Tujia language]
  • A. Tujia language chosen
    The Tujia language is a Sino-Tibetan language spoken primarily by the Tujia ethnic group in parts of central China, notably in mountainous areas of Hubei, Hunan, and neighboring provinces.
  • B. Tai Nüa language
    The Tai Nüa language is a Southwestern Tai language spoken primarily by the Tai Nüa people in parts of China and Southeast Asia, closely related to other Tai languages such as Thai and Lao.
  • C. Zigua language
    The Zigua language is a Bantu language spoken primarily in northeastern Tanzania by the Zigua people.
  • D. Tialo language
    The Tialo language is an Austronesian language spoken in Central Sulawesi, Indonesia, as part of the Tomini subgroup.
  • E. Buyi language
    The Buyi language is a Tai–Kadai language spoken primarily by the Buyi ethnic group in Guizhou and neighboring regions of southern China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da7c54c81908b62d04ab1811b06 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.