Triple
T10661855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Martín (Mendoza) |
E251244
|
entity |
| Predicate | wineRegionRole |
P95208
|
FINISHED |
| Object | processing center for regional vineyards |
—
|
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: processing center for regional vineyards | Statement: [San Martín (Mendoza), wineRegionRole, processing center for regional vineyards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineRegionRole Context triple: [San Martín (Mendoza), wineRegionRole, processing center for regional vineyards]
-
A.
wineRegionSpecialization
Indicates a relationship where a wine-producing region is characterized by or particularly known for specializing in a specific type or style of wine.
-
B.
wineRegion
Indicates the geographical region or area where a particular wine is produced or originates.
-
C.
wineLawRegionName
Indicates that a specific name refers to the legal wine-producing region defined by wine regulations.
-
D.
wineClassificationRegion
Indicates that a wine is classified according to the geographic region where it is produced or designated.
-
E.
wineRegionPartOf
Indicates that a wine-producing region is geographically or administratively contained within a larger wine region or area.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e018d1e881909b8e62682104e842 |
completed | April 8, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:08 p.m.