Triple
T12463387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sillery |
E297856
|
entity |
| Predicate | hasVineyardsClassifiedAs |
P93295
|
FINISHED |
| Object | 100% on the Échelle des Crus (Champagne vineyard scale) |
—
|
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: 100% on the Échelle des Crus (Champagne vineyard scale) | Statement: [Sillery, hasVineyardsClassifiedAs, 100% on the Échelle des Crus (Champagne vineyard scale)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVineyardsClassifiedAs Context triple: [Sillery, hasVineyardsClassifiedAs, 100% on the Échelle des Crus (Champagne vineyard scale)]
-
A.
hasVineyards
Indicates that one entity possesses, contains, or is associated with vineyards used for growing grapevines.
-
B.
hasVineyardType
chosen
Indicates the specific type or classification of a vineyard associated with an entity.
-
C.
viticulturalAreaDesignation
Indicates that a specific geographic area is officially designated or recognized for viticulture (grape growing and wine production).
-
D.
hasRegulatedGrapes
Indicates that certain grapes are subject to specific rules, standards, or controls imposed by an authority or regulation.
-
E.
hasWineryType
Indicates the specific category or classification of winery associated with an entity.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e626dbc8190ac7dcdb542ba9b0c |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d3f701c81909dd0e00251ac8553 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.