Triple
T17496000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanquette Méthode Ancestrale |
E426060
|
entity |
| Predicate | historicalStyle |
P73403
|
FINISHED |
| Object | traditional Limoux sparkling wine |
—
|
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: traditional Limoux sparkling wine | Statement: [Blanquette Méthode Ancestrale, historicalStyle, traditional Limoux sparkling wine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalStyle Context triple: [Blanquette Méthode Ancestrale, historicalStyle, traditional Limoux sparkling wine]
-
A.
historicalLifestyle
Indicates that an entity’s way of living, customs, or daily practices are characteristic of or derived from a particular historical period or tradition.
-
B.
heritageStyle
chosen
Indicates that one entity is characterized by, designed in, or associated with a particular heritage or traditional style defined by the other entity.
-
C.
historicalType
Indicates that one entity classifies or characterizes another in terms of its role, status, or category within a historical context.
-
D.
historicalForm
Indicates that one entity is an earlier or historically attested form or variant of another entity.
-
E.
historicalGenre
Indicates that something belongs to or is categorized within a particular historical genre.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520e9c8c8190aa955766bc915d26 |
completed | April 19, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.