Triple
T7866965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyamwezi people |
E182640
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Nyamwezi language |
E177048
|
NE FINISHED |
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: Nyamwezi language | Statement: [Nyamwezi people, language, Nyamwezi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyamwezi language Context triple: [Nyamwezi people, language, Nyamwezi language]
-
A.
Nyamwezi language
chosen
The Nyamwezi language is a Bantu language spoken primarily by the Nyamwezi people of western-central Tanzania.
-
B.
Kinyankole language
The Kinyankole language is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
-
C.
Sukuma–Nyamwezi languages
The Sukuma–Nyamwezi languages are a closely related group of Bantu languages spoken primarily in northwestern Tanzania by the Sukuma, Nyamwezi, and neighboring ethnic groups.
-
D.
Ngindo language
The Ngindo language is a Bantu language spoken by the Ngindo people of southeastern Tanzania.
-
E.
Nyaturu language
The Nyaturu language is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb38464274819080f182b53783fa84 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5615a38c8190b11af9fe5b2e1422 |
completed | March 31, 2026, 11:17 p.m. |
Created at: March 30, 2026, 4:54 p.m.