Triple
T4235462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verwoerd |
E94681
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Verwoert |
E94681
|
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: Verwoert | Statement: [Verwoerd, hasSpellingVariant, Verwoert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verwoert Context triple: [Verwoerd, hasSpellingVariant, Verwoert]
-
A.
Verwoerd
chosen
Verwoerd is a surname most prominently associated with Hendrik Verwoerd, the South African prime minister widely regarded as the chief architect of apartheid.
-
B.
De Wit
De Wit is a Dutch surname commonly borne by individuals of Dutch origin and often associated with historical figures from the Netherlands.
-
C.
Greeff
Greeff is a surname of likely Afrikaans or Dutch origin borne by individuals such as Jacoba Elizabeth Greeff.
-
D.
Swartland
Swartland is a wine-producing and agricultural region in South Africa’s Western Cape, known for its dry-farmed vineyards and distinctive Rhône-style and old-vine wines.
-
E.
Hartenbos
Hartenbos is a popular coastal holiday town and beach resort in South Africa’s Western Cape, near Mossel Bay, known for its family-friendly atmosphere and seaside tourism.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e72ff588190a50c04ab975612dd |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a866c2448190aaed83d8da3669b8 |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 12, 2026, 11:05 p.m.