Triple
T17495976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanquette de Limoux |
E426059
|
entity |
| Predicate | secondaryFermentationLocation |
P127671
|
FINISHED |
| Object | in bottle |
—
|
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: in bottle | Statement: [Blanquette de Limoux, secondaryFermentationLocation, in bottle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryFermentationLocation Context triple: [Blanquette de Limoux, secondaryFermentationLocation, in bottle]
-
A.
primaryFermentationVessel
Indicates that one entity serves as the main container or vessel in which the primary fermentation process of another entity takes place.
-
B.
possibleFermentationVessel
Indicates that something can serve as a suitable container or environment in which fermentation may take place.
-
C.
secondaryGrape
Indicates that one grape variety serves as a secondary or supporting component in a wine blend relative to the primary grape.
-
D.
mustBeFermentedBy
Indicates that one entity is required to undergo a fermentation process carried out by another specified entity.
-
E.
fermentationMethod
Indicates the process or technique by which a substance is fermented to achieve a desired transformation or product.
- 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_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. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:48 a.m.