Triple
T13689201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KWV Wine Emporium |
E328215
|
entity |
| Predicate | associatedWithBrand |
P2830
|
FINISHED |
| Object |
KWV
KWV is a historic South African wine and spirits producer known for its wide range of wines, brandies, and fortified wines.
|
E328215
|
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: KWV | Statement: [KWV Wine Emporium, associatedWithBrand, KWV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KWV Context triple: [KWV Wine Emporium, associatedWithBrand, KWV]
-
A.
KWV Wine Emporium
KWV Wine Emporium is a renowned wine destination in Paarl, South Africa, offering tastings, cellar tours, and a showcase of the historic KWV brand’s wines and spirits.
-
B.
Ketelmeer
Ketelmeer is a shallow lake in the central Netherlands that forms part of the IJsselmeer lake system and serves as an important waterway and ecological area.
-
C.
Ketel One
Ketel One is a premium Dutch vodka brand known for its traditional distillation methods and smooth, crisp taste.
-
D.
Grolsch
Grolsch is a Dutch brewery best known for its distinctive swing-top bottled beers and long-standing presence in the international beer market.
-
E.
Amstel
The Amstel is a river in the Netherlands that flows through Amsterdam and has given its name to the city and a well-known Dutch beer brand.
- 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: KWV Triple: [KWV Wine Emporium, associatedWithBrand, KWV]
Generated description
KWV is a historic South African wine and spirits producer known for its wide range of wines, brandies, and fortified wines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KWV Target entity description: KWV is a historic South African wine and spirits producer known for its wide range of wines, brandies, and fortified wines.
-
A.
KWV Wine Emporium
chosen
KWV Wine Emporium is a renowned wine destination in Paarl, South Africa, offering tastings, cellar tours, and a showcase of the historic KWV brand’s wines and spirits.
-
B.
Ketelmeer
Ketelmeer is a shallow lake in the central Netherlands that forms part of the IJsselmeer lake system and serves as an important waterway and ecological area.
-
C.
Ketel One
Ketel One is a premium Dutch vodka brand known for its traditional distillation methods and smooth, crisp taste.
-
D.
Grolsch
Grolsch is a Dutch brewery best known for its distinctive swing-top bottled beers and long-standing presence in the international beer market.
-
E.
Amstel
The Amstel is a river in the Netherlands that flows through Amsterdam and has given its name to the city and a well-known Dutch beer brand.
- F. None of above.
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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6721c248190ac48491b5f39c8f0 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944b93d88190806d6b5735f7e794 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f795b1c4948190b3c17acb26cd5b6e |
completed | May 3, 2026, 6:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7965cc9f88190acbf232615a9e87b |
completed | May 3, 2026, 6:39 p.m. |
Created at: April 9, 2026, 9:53 p.m.