Triple
T22850218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qiangic group |
E566336
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Namuyi 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: Namuyi language | Statement: [Qiangic group, hasPart, Namuyi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namuyi language Context triple: [Qiangic group, hasPart, Namuyi language]
-
A.
Namuyi language
chosen
The Namuyi language is a lesser-known Sino-Tibetan language spoken by the Namuyi people in parts of Sichuan and Yunnan in southwestern China.
-
B.
Nyunga language
The Nyunga language is an Australian Aboriginal language traditionally spoken by the Noongar people of southwestern Western Australia and is part of the broader Pama–Nyungan language family.
-
C.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
D.
Nyimang language
Nyimang language is a Nilo-Saharan language spoken by the Nyimang people in the Nuba Mountains of Sudan.
-
E.
Nyemba language
The Nyemba language is a Bantu language spoken primarily by the Nyemba (Nyaneka-Nkhumbi) people of southwestern Angola.
- 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.