Triple
T31259825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taurasi |
E797086
|
entity |
| Predicate | minimumAglianicoContent |
P173767
|
FINISHED |
| Object | 85 percent |
—
|
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: 85 percent | Statement: [Taurasi, minimumAglianicoContent, 85 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumAglianicoContent Context triple: [Taurasi, minimumAglianicoContent, 85 percent]
-
A.
minimumVernacciaContent
Indicates the required minimum amount or proportion of Vernaccia content that must be present in a given product or mixture.
-
B.
minimumGrecoContent
Indicates that the subject entity has at least a specified minimum amount or proportion of Greco-related content.
-
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.
minimumPrimitivoContent
Indicates that there is a specified minimum amount or level of primitive content required in the relationship between the involved entities.
- 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6ba1733408190af579d93a7946508 |
completed | May 3, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: April 29, 2026, 9:12 p.m.