Triple
T2958015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanc Fumé |
E79978
|
entity |
| Predicate | possibleFermentationVessel |
P45200
|
FINISHED |
| Object | oak barrels |
—
|
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: oak barrels | Statement: [Blanc Fumé, possibleFermentationVessel, oak barrels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleFermentationVessel Context triple: [Blanc Fumé, possibleFermentationVessel, oak barrels]
-
A.
fermentationMethod
Indicates the process or technique by which a substance is fermented to achieve a desired transformation or product.
-
B.
fermentedFood
Indicates that one entity is a food item that has been produced or altered through a fermentation process involving microorganisms.
-
C.
allowsTastingOf
Indicates that one entity permits another entity to sample or try the taste of something.
-
D.
dishType
Indicates the classification of a dish according to its culinary category or role (e.g., appetizer, main course, dessert).
-
E.
traditionalVessel
Indicates that one entity is a vessel or container that follows traditional, customary, or historically established forms, designs, or uses in relation to another entity.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992b33e081909d22a19d5064c47d |
completed | March 8, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad98379fac8190a4dfe530787703c9 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 8, 2026, 2:57 p.m.