Triple
T28065654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verdello |
E709241
|
entity |
| Predicate | roleInWine |
P57084
|
FINISHED |
| Object | blending grape |
—
|
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: blending grape | Statement: [Verdello, roleInWine, blending grape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInWine Context triple: [Verdello, roleInWine, blending grape]
-
A.
roleInCognac
Indicates that an entity plays a specific role or function within the context of cognac (e.g., its production, classification, or related processes).
-
B.
wineBlendRole
chosen
Indicates the specific role or function that a wine plays within a blend (e.g., primary component, supporting component, or minor addition).
-
C.
wineEconomyRole
Indicates the role or function an entity has within the wine-related economy, such as production, distribution, trade, or regulation.
-
D.
wineSpeciality
Indicates that an entity (such as a person, place, or establishment) is particularly known for, focused on, or distinguished by a specific type or aspect of wine.
-
E.
wineRegionRole
Indicates the specific role or function that a wine-producing region has in relation to wine production, classification, or designation.
- F. None of above.
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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: April 27, 2026, 8:42 p.m.