Triple
T35863026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albillo Real |
E1037005
|
entity |
| Predicate | canBeVinifiedAs |
P173270
|
FINISHED |
| Object | still white wine |
—
|
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: still white wine | Statement: [Albillo Real, canBeVinifiedAs, still white wine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeVinifiedAs Context triple: [Albillo Real, canBeVinifiedAs, still white wine]
-
A.
commonVinification
Indicates that two wines share the same or very similar vinification (winemaking) process.
-
B.
oftenVinifiedWith
Indicates that one entity is frequently fermented or made into wine together with another entity.
-
C.
hasWinemakingOption
chosen
Indicates that an entity offers or includes a particular method, feature, or configuration related to winemaking.
-
D.
grapeVarietyAllowed
Indicates that a specific grape variety is permitted or authorized for use in a given context, such as a wine, region, or product specification.
-
E.
sweetWineProductionAllowed
Indicates that the production of sweet wine is permitted under the relevant rules or conditions.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fee0b2da3c8190a3519d0564f2f32d |
completed | May 9, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69fee05b315c819081dfcbfb15273487 |
completed | May 9, 2026, 7:20 a.m. |
Created at: May 3, 2026, 4:06 p.m.