Triple
T22849942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prinmi language |
E566329
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Muya 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: Muya language | Statement: [Prinmi language, closelyRelatedTo, Muya language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muya language Context triple: [Prinmi language, closelyRelatedTo, Muya language]
-
A.
Muya language
chosen
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.
-
B.
Mumuye language
The Mumuye language is a Niger-Congo language spoken primarily by the Mumuye people in northeastern Nigeria.
-
C.
Namuyi language
The Namuyi language is a lesser-known Sino-Tibetan language spoken by the Namuyi people in parts of Sichuan and Yunnan in southwestern China.
-
D.
Muria language
Muria language is a Central Dravidian language spoken primarily by the Muria Gond tribal communities in central India, especially in parts of Chhattisgarh and Maharashtra.
-
E.
Puyuma language
The Puyuma language is an endangered Austronesian language spoken by the Puyuma Indigenous people of southeastern Taiwan.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb74700819090d191b3a7a17034 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.