Triple
T23915238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Wines and Wine of Kings |
E602064
|
entity |
| Predicate | linkedWineRegion |
P6176
|
FINISHED |
| Object | Barolo DOCG |
—
|
NE NERFINISHED |
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: Barolo DOCG | Statement: [King of Wines and Wine of Kings, linkedWineRegion, Barolo DOCG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedWineRegion Context triple: [King of Wines and Wine of Kings, linkedWineRegion, Barolo DOCG]
-
A.
wineRegionGatewayTo
Indicates that one wine region serves as an entry point or primary access route to another wine region.
-
B.
nearWineRegion
Indicates that one entity is located close to or in the vicinity of a wine-producing region.
-
C.
wineRegion
chosen
Indicates the geographical region or area where a particular wine is produced or originates.
-
D.
notableWineRegionCountry
Indicates that a country is recognized as a notable or significant wine-producing region.
-
E.
wineClassificationRegion
Indicates that a wine is classified according to the geographic region where it is produced or designated.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce9917808190ad66a4e276a24b3d |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:40 p.m.