Triple
T18786767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lugana DOC |
E459395
|
entity |
| Predicate | primaryGrape |
P975
|
FINISHED |
| Object |
Turbiana
Turbiana is a white grape variety from northern Italy, closely associated with the Lugana wine region and known for producing fresh, mineral-driven wines with good aging potential.
|
E1342709
|
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: Turbiana | Statement: [Lugana DOC, primaryGrape, Turbiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turbiana Context triple: [Lugana DOC, primaryGrape, Turbiana]
-
A.
Lodoletta
Lodoletta is an opera in three acts by Italian composer Pietro Mascagni, known for its verismo style and tragic love story.
-
B.
Lamba Doria
Lamba Doria was a prominent 13th-century Genoese admiral renowned for his decisive naval victory over Venice at the Battle of Curzola in 1298.
-
C.
Fontanarrosa
Fontanarrosa is the surname of Roberto Fontanarrosa, a renowned Argentine cartoonist, writer, and humorist.
-
D.
Vincenza
Vincenza is an Italian feminine given name, commonly used as the female counterpart of Vincenzo.
-
E.
Malèna
Malèna is a 2000 Italian coming-of-age drama film directed by Giuseppe Tornatore, known for its poignant portrayal of a beautiful war widow observed through the eyes of a young boy in World War II Sicily.
- 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: Turbiana Triple: [Lugana DOC, primaryGrape, Turbiana]
Generated description
Turbiana is a white grape variety from northern Italy, closely associated with the Lugana wine region and known for producing fresh, mineral-driven wines with good aging potential.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turbiana Target entity description: Turbiana is a white grape variety from northern Italy, closely associated with the Lugana wine region and known for producing fresh, mineral-driven wines with good aging potential.
-
A.
Lodoletta
Lodoletta is an opera in three acts by Italian composer Pietro Mascagni, known for its verismo style and tragic love story.
-
B.
Lamba Doria
Lamba Doria was a prominent 13th-century Genoese admiral renowned for his decisive naval victory over Venice at the Battle of Curzola in 1298.
-
C.
Fontanarrosa
Fontanarrosa is the surname of Roberto Fontanarrosa, a renowned Argentine cartoonist, writer, and humorist.
-
D.
Vincenza
Vincenza is an Italian feminine given name, commonly used as the female counterpart of Vincenzo.
-
E.
Malèna
Malèna is a 2000 Italian coming-of-age drama film directed by Giuseppe Tornatore, known for its poignant portrayal of a beautiful war widow observed through the eyes of a young boy in World War II Sicily.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e597828cb481908fe569747f816e15 |
completed | April 20, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05471ae8fc8190a18870af6b487105 |
completed | May 14, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a054abe671c8190b9ef2d324fe23a96 |
completed | May 14, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a054b2bf4848190ae3329f47c30210c |
completed | May 14, 2026, 4:10 a.m. |
Created at: April 10, 2026, 11:52 a.m.