Triple
T10330906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clairette de Die wine |
E242869
|
entity |
| Predicate | sparklingType |
P93463
|
FINISHED |
| Object | lightly sparkling |
—
|
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: lightly sparkling | Statement: [Clairette de Die wine, sparklingType, lightly sparkling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sparklingType Context triple: [Clairette de Die wine, sparklingType, lightly sparkling]
-
A.
hasSparklingWine
Indicates that an entity possesses, includes, or is associated with sparkling wine.
-
B.
sparklingWineAllowed
Indicates that the use, serving, or presence of sparkling wine is permitted in the given context or under specified conditions.
-
C.
crystalType
Indicates the specific crystalline structure or classification that characterizes how a material’s atoms are arranged.
-
D.
gemType
Indicates the specific kind or category of gemstone associated with an entity.
-
E.
spinType
Indicates the specific kind or category of spin associated with an entity, such as its spin state, mode, or configuration.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7fb77348190ac8ff887f6f03450 |
completed | April 7, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f760e88190abea6dcc4f04f2c1 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:52 a.m.