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.