Triple

T8006469
Position Surface form Disambiguated ID Type / Status
Subject Miao people E186375 entity
Predicate hasLanguage P15 FINISHED
Object Hmu language
The Hmu language is a Hmong-Mien language spoken primarily by the Miao people in parts of southern China.
E705438 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: Hmu language | Statement: [Miao people, hasLanguage, Hmu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hmu language
Context triple: [Miao people, hasLanguage, Hmu language]
  • A. Khumi language
    The Khumi language is a lesser-known Tibeto-Burman language spoken primarily by the Khumi people in parts of Myanmar and neighboring regions.
  • B. Munji language
    The Munji language is an Eastern Iranian language spoken by the Munji people in Afghanistan’s remote Munjan Valley, closely related to the Yidgha language of Pakistan.
  • C. Muya language
    The Muya language is a lesser-known Sino-Tibetan language spoken by the Muya people in parts of Sichuan, China, noted for its complex phonology and endangered status.
  • D. Hmar language
    The Hmar language is a Tibeto-Burman language spoken primarily by the Hmar people in northeastern India, especially in the states of Mizoram, Manipur, and Assam.
  • E. Chumburung language
    The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
  • 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: Hmu language
Triple: [Miao people, hasLanguage, Hmu language]
Generated description
The Hmu language is a Hmong-Mien language spoken primarily by the Miao people in parts of southern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hmu language
Target entity description: The Hmu language is a Hmong-Mien language spoken primarily by the Miao people in parts of southern China.
  • A. Khumi language
    The Khumi language is a lesser-known Tibeto-Burman language spoken primarily by the Khumi people in parts of Myanmar and neighboring regions.
  • B. Munji language
    The Munji language is an Eastern Iranian language spoken by the Munji people in Afghanistan’s remote Munjan Valley, closely related to the Yidgha language of Pakistan.
  • C. Muya language
    The Muya language is a lesser-known Sino-Tibetan language spoken by the Muya people in parts of Sichuan, China, noted for its complex phonology and endangered status.
  • D. Hmar language
    The Hmar language is a Tibeto-Burman language spoken primarily by the Hmar people in northeastern India, especially in the states of Mizoram, Manipur, and Assam.
  • E. Chumburung language
    The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf8a6048190970685a83fd2f59d completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe12c068c8190a6ea7e924a7748c6 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cc46c221848190848c7e017e532a16 completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc480d2f40819085046a1d0c9d05e0 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:18 p.m.