Triple
T22313234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nomvula (song) |
E551576
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Nomvula |
—
|
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: Nomvula | Statement: [Nomvula (song), partOf, Nomvula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nomvula Context triple: [Nomvula (song), partOf, Nomvula]
-
A.
Nomvula
chosen
"Nomvula" is a popular album and title track by South African Afro-fusion band Freshlyground that helped bring them widespread recognition.
-
B.
Vhavenda
Vhavenda are a Bantu-speaking ethnic group primarily inhabiting the northern part of South Africa’s Limpopo Province, known for their rich cultural traditions, distinctive music and dance, and historical Venda kingdom.
-
C.
Moingwena
The Moingwena were a Native American group historically associated with the Illinois (Illiniwek) confederation in the central Mississippi River region.
-
D.
Mvila
Mvila is an administrative department in Cameroon's South Region, known for its local governance role and regional cultural diversity.
-
E.
Luanshya
Luanshya is a mining town in Zambia known for its copper production and role in the country’s Copperbelt region.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15750f76c81909d6f788928f503f1 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.