Triple

T1743099
Position Surface form Disambiguated ID Type / Status
Subject Yunnan Province E38274 entity
Predicate ethnicGroup P194 FINISHED
Object Naxi E133170 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: Naxi | Statement: [Yunnan Province, ethnicGroup, Naxi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naxi
Context triple: [Yunnan Province, ethnicGroup, Naxi]
  • A. Naxi language chosen
    Naxi is a Tibeto-Burman language spoken primarily by the Naxi people in China’s Yunnan and Sichuan provinces, known for its unique pictographic Dongba script and rich oral tradition.
  • B. Lisu
    The Lisu are an ethnic minority people of the mountainous regions of southwest China and neighboring countries, known for their distinct Tibeto-Burman language, traditional music, and vibrant festivals.
  • C. 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.
  • D. Siwu language
    The Siwu language is a Niger-Congo language spoken primarily in the Volta Region of Ghana by the Mawu people.
  • E. 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.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c836d48190bd44ea24977aba2d completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9866d308190a1de483f5a330362 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.