Triple
T22951120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Malawi region |
E570016
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Tumbuka 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: Tumbuka language | Statement: [Lake Malawi region, language, Tumbuka language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumbuka language Context triple: [Lake Malawi region, language, Tumbuka language]
-
A.
Tumbuka
chosen
Tumbuka is a Bantu language spoken primarily in northern Malawi and parts of Zambia and Tanzania.
-
B.
Mambwe-Lungu language
The Mambwe-Lungu language is a Bantu language spoken primarily in parts of Zambia and Tanzania by the Mambwe and closely related Lungu communities.
-
C.
Azande language
Azande language is a Ubangian language spoken primarily by the Azande people across parts of South Sudan, the Central African Republic, and the Democratic Republic of the Congo.
-
D.
Southern Tumbuka
Southern Tumbuka is a regional variety of the Tumbuka language spoken primarily in the southern parts of the Tumbuka-speaking area of Malawi and neighboring regions.
-
E.
Silozi language
The Silozi language is a Bantu language spoken primarily by the Lozi people in western Zambia and surrounding regions.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181a1b334819097a4e9ea8a54209c |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.