Triple
T7225421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chianti |
E150366
|
entity |
| Predicate | grapeVariety |
P975
|
FINISHED |
| Object | Canaiolo |
E614227
|
NE FINISHED |
How this triple was built (2 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: Canaiolo | Statement: [Chianti, grapeVariety, Canaiolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canaiolo Context triple: [Chianti, grapeVariety, Canaiolo]
-
A.
Canaiolo Nero
chosen
Canaiolo Nero is a traditional Italian red wine grape variety from Tuscany, commonly used in blends to add softness and floral notes to wines such as Chianti and Vino Nobile di Montepulciano.
-
B.
Cuneese Piedmontese
Cuneese Piedmontese is a regional variety of the Piedmontese language spoken in and around the province of Cuneo in northwestern Italy.
-
C.
Faggiano
Faggiano is a small town and comune in the Apulia region of southern Italy, situated within the Province of Taranto.
-
D.
Bonomi
Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
-
E.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9dc835881909ea646c392a980b6 |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc11b48881909886a71f1b887789 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:54 p.m.