Triple
T11292010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pouilly-Fuissé AOC |
E267346
|
entity |
| Predicate | redWineAllowed |
P88919
|
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: [Pouilly-Fuissé AOC, redWineAllowed, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redWineAllowed Context triple: [Pouilly-Fuissé AOC, redWineAllowed, no]
-
A.
redWineProductionAllowed
chosen
Indicates that producing red wine is permitted under the relevant rules, conditions, or regulations.
-
B.
roséWineAllowed
Indicates that the consumption or presence of rosé wine is permitted in the given context or under the specified conditions.
-
C.
redWinesLabeledAs
Indicates that certain red wines are designated or identified by a particular label or labeling term.
-
D.
typicalAlcoholRangeRed
Indicates that the subject red wine typically falls within a specified range of alcohol content.
-
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.
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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e989fdac81909a4a75f1f68b55c6 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.