Triple
T428291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Cape |
E9657
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hermanus
Hermanus is a coastal town in South Africa renowned for its land-based whale watching and scenic seaside landscapes.
|
E65221
|
NE FINISHED |
How this triple was built (4 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: Hermanus | Statement: [Western Cape, contains, Hermanus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermanus Context triple: [Western Cape, contains, Hermanus]
-
A.
Mossel Bay
Mossel Bay is a coastal town and popular tourist destination on South Africa’s Garden Route, known for its beaches, mild climate, and maritime history.
-
B.
Knysna
Knysna is a picturesque coastal town in South Africa known for its lagoon, indigenous forests, and role as a major tourist destination along the Garden Route.
-
C.
Oudtshoorn
Oudtshoorn is a South African town famed as the "ostrich capital of the world," known for its ostrich farms, Cango Caves, and semi-arid Karoo landscape.
-
D.
Port Elizabeth
Port Elizabeth is a large coastal city in South Africa known for its major seaport, automotive industry, and popular beaches along Algoa Bay.
-
E.
Paarl
Paarl is a historic town in South Africa renowned for its wine estates, scenic granite rock formations, and role in the development of the Afrikaans language.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hermanus Triple: [Western Cape, contains, Hermanus]
Generated description
Hermanus is a coastal town in South Africa renowned for its land-based whale watching and scenic seaside landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hermanus Target entity description: Hermanus is a coastal town in South Africa renowned for its land-based whale watching and scenic seaside landscapes.
-
A.
Mossel Bay
Mossel Bay is a coastal town and popular tourist destination on South Africa’s Garden Route, known for its beaches, mild climate, and maritime history.
-
B.
Knysna
Knysna is a picturesque coastal town in South Africa known for its lagoon, indigenous forests, and role as a major tourist destination along the Garden Route.
-
C.
Oudtshoorn
Oudtshoorn is a South African town famed as the "ostrich capital of the world," known for its ostrich farms, Cango Caves, and semi-arid Karoo landscape.
-
D.
Port Elizabeth
Port Elizabeth is a large coastal city in South Africa known for its major seaport, automotive industry, and popular beaches along Algoa Bay.
-
E.
Paarl
Paarl is a historic town in South Africa renowned for its wine estates, scenic granite rock formations, and role in the development of the Afrikaans language.
- F. None of above. chosen
Provenance (5 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeecb64c81908c5c83ef7c0181e6 |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ab1982f48190b7d7300f0ab9c637 |
completed | March 1, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69a4ac032ef4819094b9ce7740262eda |
completed | March 1, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4ada4ca5481909bbd62b55f10f4f9 |
completed | March 1, 2026, 9:20 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.