Triple
T12635978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Dutch |
E301763
|
entity |
| Predicate | notableExample |
P1503
|
FINISHED |
| Object |
Meerlust
Meerlust is a historic South African wine estate renowned for its Cape Dutch architecture and premium wines.
|
E1005367
|
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: Meerlust | Statement: [Cape Dutch, notableExample, Meerlust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meerlust Context triple: [Cape Dutch, notableExample, Meerlust]
-
A.
Zandvlei
Zandvlei is a coastal estuary and recreational nature reserve in Cape Town, South Africa, known for its birdlife, water sports, and conservation value.
-
B.
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.
-
C.
Vosloo
Vosloo is a South African surname most notably associated with actor Arnold Vosloo, known for his roles in films such as "The Mummy."
-
D.
Ruimsig
Ruimsig is a suburban residential area in Roodepoort, west of Johannesburg, known for its golf course, botanical gardens, and family-oriented lifestyle.
-
E.
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.
- 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: Meerlust Triple: [Cape Dutch, notableExample, Meerlust]
Generated description
Meerlust is a historic South African wine estate renowned for its Cape Dutch architecture and premium wines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meerlust Target entity description: Meerlust is a historic South African wine estate renowned for its Cape Dutch architecture and premium wines.
-
A.
Zandvlei
Zandvlei is a coastal estuary and recreational nature reserve in Cape Town, South Africa, known for its birdlife, water sports, and conservation value.
-
B.
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.
-
C.
Vosloo
Vosloo is a South African surname most notably associated with actor Arnold Vosloo, known for his roles in films such as "The Mummy."
-
D.
Ruimsig
Ruimsig is a suburban residential area in Roodepoort, west of Johannesburg, known for its golf course, botanical gardens, and family-oriented lifestyle.
-
E.
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.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96147f49c8190b701e1e27e207a95 |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eab6148819080a58e20499186fa |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f69061011c81908cb045925cfefdd7 |
completed | May 3, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69138b40881909e9c74d6d922e1f3 |
completed | May 3, 2026, 12:05 a.m. |
Created at: April 9, 2026, 5:16 p.m.