Triple
T12420635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reuilly |
E296757
|
entity |
| Predicate | countryWineLawFramework |
P105019
|
FINISHED |
| Object | French AOC system |
—
|
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: French AOC system | Statement: [Reuilly, countryWineLawFramework, French AOC system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryWineLawFramework Context triple: [Reuilly, countryWineLawFramework, French AOC system]
-
A.
wineRegulationBody
Indicates that a regulatory organization has authority over the production, labeling, or distribution standards for a particular wine or wine-producing region.
-
B.
wineRegulationStatus
Indicates the regulatory classification or compliance status that applies to a given wine under relevant laws or standards.
-
C.
wineCountry
Indicates that a location is recognized as a region where wine is produced, typically known for its vineyards and wineries.
-
D.
notableWineRegionCountry
Indicates that a country is recognized as a notable or significant wine-producing region.
-
E.
nationalWineTradition
Indicates that a country or region has an established cultural and historical practice of producing, consuming, and valuing wine.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e15f21c8190831c9562ffdd4fda |
completed | April 10, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:55 p.m.