Triple
T2582693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekurhuleni |
E57128
|
entity |
| Predicate | officialLanguage |
P236
|
FINISHED |
| Object | Venda |
E52951
|
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: Venda | Statement: [Ekurhuleni, officialLanguage, Venda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venda Context triple: [Ekurhuleni, officialLanguage, Venda]
-
A.
Venda
chosen
Venda is a Bantu language of the Venda people of South Africa and Zimbabwe, recognized as one of South Africa’s official languages.
-
B.
Loja
Loja is a city in southern Ecuador known as a cultural and musical center nestled in the Andean highlands.
-
C.
Sellin
Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
-
D.
Venda people
The Venda people are a Bantu ethnic group primarily inhabiting northern South Africa, known for their rich cultural traditions, distinctive language, and vibrant artistic and musical heritage.
-
E.
Neiva
Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c9d0548190b29743ac1d7837ff |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af657cc2b08190a9055d6da7744851 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:49 p.m.