Triple
T29728461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baco Blanc |
E752251
|
entity |
| Predicate | typicalAlcoholLevelInBaseWine |
P148688
|
FINISHED |
| Object | moderate |
—
|
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: moderate | Statement: [Baco Blanc, typicalAlcoholLevelInBaseWine, moderate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAlcoholLevelInBaseWine Context triple: [Baco Blanc, typicalAlcoholLevelInBaseWine, moderate]
-
A.
minimumAlcoholPotential
Indicates the lowest level of potential alcohol content that is required or allowed in a given context or product.
-
B.
alcoholContentRelativeTo
Indicates that the alcohol content of one entity is compared to or expressed in relation to the alcohol content of another entity.
-
C.
alcoholByVolumeApprox
chosen
Indicates an approximate measurement of the proportion of alcohol by volume contained in a beverage or liquid.
-
D.
wineDenomination
Indicates that a wine is classified under a specific official denomination or appellation.
-
E.
alcoholLevel
Indicates the measured concentration or amount of alcohol present in an entity (such as a person, substance, or environment).
- 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_69f0d62a36a88190bf860f00da433ff8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a0238010fa481909b07a5c22aa0abde |
completed | May 11, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_6a0236cfdcb481908323b67b925c76d9 |
completed | May 11, 2026, 8:06 p.m. |
Created at: April 28, 2026, 7:40 p.m.