Triple
T35472733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O Rosal |
E1025244
|
entity |
| Predicate | styleRegulation |
P172981
|
FINISHED |
| Object | minimum proportion of Albariño in blends |
—
|
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: minimum proportion of Albariño in blends | Statement: [O Rosal, styleRegulation, minimum proportion of Albariño in blends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleRegulation Context triple: [O Rosal, styleRegulation, minimum proportion of Albariño in blends]
-
A.
styleRestriction
Indicates a constraint or limitation imposed on the manner, form, or stylistic way in which something may be expressed, presented, or performed.
-
B.
styleOfRule
Indicates the stylistic or formatting convention that a particular rule follows or is expressed in.
-
C.
styleCriteria
chosen
Indicates that one entity specifies or imposes stylistic requirements, standards, or preferences that another entity should follow or satisfy.
-
D.
wearingRegulatedBy
Indicates that the act of wearing something is governed, constrained, or directed by a rule, regulation, or authority.
-
E.
wearRegulation
Indicates that an entity is subject to and follows specific rules or standards governing what it wears.
- 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.