Triple
T25373990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graciano |
E633007
|
entity |
| Predicate | associatedWineRegionCategory |
P133907
|
FINISHED |
| Object | Spanish Denominación de Origen |
—
|
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: Spanish Denominación de Origen | Statement: [Graciano, associatedWineRegionCategory, Spanish Denominación de Origen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWineRegionCategory Context triple: [Graciano, associatedWineRegionCategory, Spanish Denominación de Origen]
-
A.
wineRegionCategory
Indicates a classification relationship where a wine region is assigned to a specific category or type of wine-producing area.
-
B.
wineLawRegionType
chosen
Indicates the type or category of legal designation that governs wine production in a particular region.
-
C.
wineClassificationRegion
Indicates that a wine is classified according to the geographic region where it is produced or designated.
-
D.
wineSubregion
Indicates that one region is a subregion within a larger, defined wine-producing region.
-
E.
wineLawRegionFocus
Indicates that a legal rule or regulation specifically concerns or targets a particular geographic region in the context of wine.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: April 21, 2026, 1:38 p.m.