Triple
T10652423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transkei |
E251004
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Wild Coast |
E82429
|
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: Wild Coast | Statement: [Transkei, region, Wild Coast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wild Coast Context triple: [Transkei, region, Wild Coast]
-
A.
Wild Coast
chosen
Wild Coast is a rugged, sparsely developed stretch of South African coastline famed for its dramatic cliffs, unspoiled beaches, and Xhosa cultural heritage.
-
B.
South African coast
The South African coast is a biodiverse marine and coastal region where cold and warm ocean currents meet, supporting rich ecosystems of kelp forests, rocky shores, and abundant marine life.
-
C.
KwaZulu-Natal coastline
The KwaZulu-Natal coastline is a long, subtropical stretch of South Africa’s eastern shore along the Indian Ocean, known for its sandy beaches, warm waters, and rich marine biodiversity.
-
D.
Slave Coast
The Slave Coast was a historically significant region of West Africa along the Gulf of Guinea that served as a major hub for the transatlantic slave trade.
-
E.
Cape Flats
The Cape Flats is a low-lying, sandy plain on the outskirts of Cape Town, South Africa, known for its dense townships, socio-economic challenges, and cultural diversity.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dff78ec88190a4d1863fe87245f6 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a69a57c81908bf99cac0c0a49f2 |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:06 p.m.