Triple
T473767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Racha-Lechkhumi |
E9014
|
entity |
| Predicate | wineRegionStatus |
P13440
|
FINISHED |
| Object | protected designation of origin area for some Georgian wines |
—
|
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: protected designation of origin area for some Georgian wines | Statement: [Racha-Lechkhumi, wineRegionStatus, protected designation of origin area for some Georgian wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineRegionStatus Context triple: [Racha-Lechkhumi, wineRegionStatus, protected designation of origin area for some Georgian wines]
-
A.
wineRegion
Indicates the geographical region or area where a particular wine is produced or originates.
-
B.
wineRegionPartOf
Indicates that a wine-producing region is geographically or administratively contained within a larger wine region or area.
-
C.
isWineRegionCenter
Indicates that a location serves as the central or principal area of a specified wine-producing region.
-
D.
wineClassificationSystem
Indicates a system or scheme used to categorize and organize wines based on defined criteria such as origin, style, or quality.
-
E.
hasWinery
Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0208c788190a96cdabcf593fda7 |
completed | Feb. 28, 2026, 1:39 p.m. |
| PD | Predicate disambiguation | batch_69a2edeed31881908cf43beed410572d |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeba8a488190986cc7381332f783 |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.