Triple
T22116666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tshi-manda |
E546561
|
entity |
| Predicate | sameAs |
P6530
|
FINISHED |
| Object | Tshimanda |
—
|
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: Tshimanda | Statement: [Tshi-manda, sameAs, Tshimanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tshimanda Context triple: [Tshi-manda, sameAs, Tshimanda]
-
A.
Tshimanda
chosen
Tshimanda is a regional dialect of the Tshivenda language spoken by a specific community of Venda people in South Africa.
-
B.
Tshiluba
Tshiluba is a Bantu language widely spoken in south-central Democratic Republic of the Congo, particularly in the Kasai region.
-
C.
Masisi
Masisi is a town in the eastern Democratic Republic of the Congo, situated in the conflict-affected, mineral-rich highlands of North Kivu Province.
-
D.
Tindyebwa
Tindyebwa is a given name most notably associated with Tindyebwa Agaba Wise, a Rwandan-born human rights activist and former child soldier who became an advocate for refugees in the United Kingdom.
-
E.
Kazungula
Kazungula is a border town in southern Africa, strategically located near the Zambezi River where Botswana, Zambia, Zimbabwe, and Namibia meet, and known for its important regional transport links.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294e85708190b455846bacbdfd03 |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.