Triple
T25736150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbera del Monferrato |
E645380
|
entity |
| Predicate | possibleAgingVessel |
P26083
|
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: [Barbera del Monferrato, possibleAgingVessel, oak barrels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleAgingVessel Context triple: [Barbera del Monferrato, possibleAgingVessel, oak barrels]
-
A.
affectedVessel
Indicates that a vessel is impacted, influenced, or acted upon by a specified event, condition, or process.
-
B.
primaryVessels
Indicates that the related vessels are the main or principal ones within a given system, structure, or context.
-
C.
vascularFeature
Indicates a relationship where one entity has, exhibits, or is characterized by a particular vascular structure or property.
-
D.
vascularSystem
Indicates the relationship in which an entity possesses or is associated with a system of blood vessels that transports blood throughout a body.
-
E.
hasVessel
chosen
Indicates that one entity possesses, uses, or is associated with a particular vessel (such as a container, ship, or transport medium) in the context of the described relationship or action.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 21, 2026, 11:26 p.m.