Triple

T7998182
Position Surface form Disambiguated ID Type / Status
Subject Western Xia E186179 entity
Predicate nativeName P15 FINISHED
Object 𗴂𗹭𗂧
𗴂𗹭𗂧 is the Tangut-language name for the Western Xia dynasty, a medieval empire ruled by the Tangut people in northwestern China.
 E703891 NE FINISHED

How this triple was built (4 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: 𗴂𗹭𗂧 | Statement: [Western Xia, nativeName, 𗴂𗹭𗂧]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 𗴂𗹭𗂧
Context triple: [Western Xia, nativeName, 𗴂𗹭𗂧]
  • A. Guangyun
    Guangyun is an 11th-century Chinese rime dictionary that serves as a major source for reconstructing the phonology of Middle Chinese.
  • B. Zhuyin
    Zhuyin is a phonetic writing system for transcribing the sounds of Mandarin Chinese, primarily used in Taiwan for teaching pronunciation and literacy.
  • C. Sheng
    Sheng is the primary male role type in traditional Chinese Peking opera, typically portraying dignified scholars, officials, and heroic figures.
  • D. Pha̍k-fa-sṳ
    Pha̍k-fa-sṳ is a Latin-based orthography developed for writing the Hakka Chinese language, historically used by missionaries and scholars.
  • E. Yuanfu
    Yuanfu was the courtesy name of Lin Zexu, the prominent Qing dynasty official known for his role in suppressing the opium trade and helping trigger the First Opium War.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 𗴂𗹭𗂧
Triple: [Western Xia, nativeName, 𗴂𗹭𗂧]
Generated description
𗴂𗹭𗂧 is the Tangut-language name for the Western Xia dynasty, a medieval empire ruled by the Tangut people in northwestern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 𗴂𗹭𗂧
Target entity description: 𗴂𗹭𗂧 is the Tangut-language name for the Western Xia dynasty, a medieval empire ruled by the Tangut people in northwestern China.
  • A. Guangyun
    Guangyun is an 11th-century Chinese rime dictionary that serves as a major source for reconstructing the phonology of Middle Chinese.
  • B. Zhuyin
    Zhuyin is a phonetic writing system for transcribing the sounds of Mandarin Chinese, primarily used in Taiwan for teaching pronunciation and literacy.
  • C. Sheng
    Sheng is the primary male role type in traditional Chinese Peking opera, typically portraying dignified scholars, officials, and heroic figures.
  • D. Pha̍k-fa-sṳ
    Pha̍k-fa-sṳ is a Latin-based orthography developed for writing the Hakka Chinese language, historically used by missionaries and scholars.
  • E. Yuanfu
    Yuanfu was the courtesy name of Lin Zexu, the prominent Qing dynasty official known for his role in suppressing the opium trade and helping trigger the First Opium War.
  • F. None of above. chosen

Provenance (5 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c98e39081908904d36a31bd6768 completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe114372c819086f06e184d5ebde2 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe440a66c8190a5d5b417fb5082b7 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc338a1c48819086ece073e04e8fa6 completed March 31, 2026, 8:50 p.m.
Created at: March 30, 2026, 5:17 p.m.