Triple
T1317459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuscans |
E28137
|
entity |
| Predicate | wineRegion |
P6176
|
FINISHED |
| Object |
Chianti
Chianti is a renowned Italian red wine region in Tuscany, famous for its Sangiovese-based wines and picturesque rolling vineyards.
|
E150366
|
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: Chianti | Statement: [Tuscans, wineRegion, Chianti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chianti Context triple: [Tuscans, wineRegion, Chianti]
-
A.
Cannonau wine
Cannonau wine is a robust red wine from Sardinia, made primarily from the Cannonau (Grenache) grape and often linked to the island’s traditional diet and longevity.
-
B.
Marsala
Marsala is a coastal city in western Sicily, Italy, best known for producing the fortified wine that shares its name.
-
C.
Merlot
Merlot is a popular red wine grape variety known for producing smooth, medium- to full-bodied wines with soft tannins and flavors of plum, black cherry, and chocolate.
-
D.
Zinfandel
Zinfandel is a robust, fruit-forward red wine grape variety widely associated with bold, spicy wines produced in California.
-
E.
Saperavi
Saperavi is a dark-skinned Georgian wine grape variety, renowned for producing deeply colored, full-bodied red wines with high acidity and strong aging potential.
- 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: Chianti Triple: [Tuscans, wineRegion, Chianti]
Generated description
Chianti is a renowned Italian red wine region in Tuscany, famous for its Sangiovese-based wines and picturesque rolling vineyards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chianti Target entity description: Chianti is a renowned Italian red wine region in Tuscany, famous for its Sangiovese-based wines and picturesque rolling vineyards.
-
A.
Cannonau wine
Cannonau wine is a robust red wine from Sardinia, made primarily from the Cannonau (Grenache) grape and often linked to the island’s traditional diet and longevity.
-
B.
Marsala
Marsala is a coastal city in western Sicily, Italy, best known for producing the fortified wine that shares its name.
-
C.
Merlot
Merlot is a popular red wine grape variety known for producing smooth, medium- to full-bodied wines with soft tannins and flavors of plum, black cherry, and chocolate.
-
D.
Zinfandel
Zinfandel is a robust, fruit-forward red wine grape variety widely associated with bold, spicy wines produced in California.
-
E.
Saperavi
Saperavi is a dark-skinned Georgian wine grape variety, renowned for producing deeply colored, full-bodied red wines with high acidity and strong aging potential.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c175079481909077cf11ed72d6fa |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbaf3cef88190ab1635bc5f452f8b |
completed | March 7, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69acbb5ee684819083f5309dc9771c3a |
completed | March 7, 2026, 11:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acbc010cd0819080b1f8695dc0990b |
completed | March 8, 2026, midnight |
Created at: March 1, 2026, 7:55 p.m.