Triple
T12240022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Criots-Bâtard-Montrachet |
E291703
|
entity |
| Predicate | wineColorRequirement |
P85392
|
FINISHED |
| Object | only white wines permitted |
—
|
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: only white wines permitted | Statement: [Criots-Bâtard-Montrachet, wineColorRequirement, only white wines permitted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineColorRequirement Context triple: [Criots-Bâtard-Montrachet, wineColorRequirement, only white wines permitted]
-
A.
wineColor
Indicates the color attribute or hue associated with a given wine.
-
B.
wineColorNotAllowed
chosen
Indicates that a particular wine color is not permitted or is disallowed in the given context or relationship.
-
C.
redWineRequired
Indicates that red wine is needed or mandated in the given context or situation.
-
D.
roséWineAllowed
Indicates that the consumption or presence of rosé wine is permitted in the given context or under the specified conditions.
-
E.
wineStyle
Indicates the stylistic category or type of wine (such as its production style, sweetness, body, or other defining characteristics) associated with an entity.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.