Triple
T36609223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ay |
E903421
|
entity |
| Predicate | partOfWineArea |
P93466
|
FINISHED |
| Object | Montagne de Reims and surroundings |
—
|
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: Montagne de Reims and surroundings | Statement: [Ay, partOfWineArea, Montagne de Reims and surroundings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfWineArea Context triple: [Ay, partOfWineArea, Montagne de Reims and surroundings]
-
A.
wineSubregion
chosen
Indicates that one region is a subregion within a larger, defined wine-producing region.
-
B.
traditionalVineyardArea
Indicates the area of land that is used as a traditional vineyard, typically cultivated with long-established grape-growing practices.
-
C.
viticulturalAreaCode
Indicates the designated code that identifies the specific viticultural (wine-producing) area associated with an entity.
-
D.
viticulturalAreaDesignation
Indicates that a specific geographic area is officially designated or recognized for viticulture (grape growing and wine production).
-
E.
wineLawRegionType
Indicates the type or category of legal designation that governs wine production in a particular region.
- 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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a011d76f3f88190be3d7c9eb0552f34 |
completed | May 11, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_6a011cce684881909dd15776bb77a6e0 |
completed | May 11, 2026, 12:03 a.m. |
Created at: May 3, 2026, 4:11 p.m.