Triple
T33707748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AOC Coteaux de Die |
E863645
|
entity |
| Predicate | sweetWineProductionAllowed |
P177226
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [AOC Coteaux de Die, sweetWineProductionAllowed, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sweetWineProductionAllowed Context triple: [AOC Coteaux de Die, sweetWineProductionAllowed, no]
-
A.
whiteWineProductionAllowed
Indicates that producing white wine is permitted under the relevant rules, regulations, or conditions.
-
B.
sparklingWineProductionAllowed
Indicates that the production of sparkling wine is permitted under the relevant rules or conditions.
-
C.
sweetWinePermitted
Indicates that the consumption or use of sweet wine is allowed under the specified conditions or rules.
-
D.
redWineProductionAllowed
Indicates that producing red wine is permitted under the relevant rules, conditions, or regulations.
-
E.
sparklingWineAllowed
Indicates that the use, serving, or presence of sparkling wine is permitted in the given context or under specified conditions.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fae2a7a8819099945d1706a94bfd |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fa335b908190a20d92d5396203b5 |
completed | May 3, 2026, 7:33 a.m. |
Created at: May 1, 2026, 1:43 a.m.