Triple
T38277344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gattinara DOCG |
E1021997
|
entity |
| Predicate | minimumNebbioloContent |
P191071
|
FINISHED |
| Object | 90% |
—
|
LITERAL 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: 90% | Statement: [Gattinara DOCG, minimumNebbioloContent, 90%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumNebbioloContent Context triple: [Gattinara DOCG, minimumNebbioloContent, 90%]
-
A.
minimumAglianicoContent
Indicates the minimum required proportion or amount of Aglianico (e.g., in a wine or blend) that must be present.
-
B.
minimumVernacciaContent
Indicates the required minimum amount or proportion of Vernaccia content that must be present in a given product or mixture.
-
C.
minimumFianoContent
Indicates that there is a specified minimum required amount or proportion of Fiano content in a given item or mixture.
-
D.
minimumMontepulcianoContent
Indicates the minimum required proportion of Montepulciano (e.g., grape or component) that must be present in a given product or mixture.
-
E.
maximumSangioveseContent
Indicates the highest allowable proportion or amount of Sangiovese in a given context or product.
- F. None of above. chosen
Provenance (4 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd866dd248190bff61c43bee93f54 |
completed | May 7, 2026, 6:22 p.m. |
Created at: May 3, 2026, 4:30 p.m.