Triple
T35873190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunter Valley Semillon style |
E1037284
|
entity |
| Predicate | typicalPalateYouthful |
P206082
|
FINISHED |
| Object | light-bodied |
—
|
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: light-bodied | Statement: [Hunter Valley Semillon style, typicalPalateYouthful, light-bodied]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPalateYouthful Context triple: [Hunter Valley Semillon style, typicalPalateYouthful, light-bodied]
-
A.
colorYouthful
Indicates that one entity imparts or is associated with a youthful or fresh appearance in the color or visual quality of another entity.
-
B.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
-
C.
typicalSweetnessLevel
Indicates the usual or characteristic degree of sweetness associated with something.
-
D.
youngerTowards
Indicates that one entity is younger in age relative to another entity.
-
E.
typicalAge
Indicates the usual or characteristic age associated with an entity, event, or condition.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037ce53de881908cf14141cf3bc570 |
completed | May 12, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:06 p.m.