Triple
T11010105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamay for red and rosé wines |
E260222
|
entity |
| Predicate | typicalConsumerPerception |
P39479
|
FINISHED |
| Object | easy-drinking |
—
|
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: easy-drinking | Statement: [Gamay for red and rosé wines, typicalConsumerPerception, easy-drinking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalConsumerPerception Context triple: [Gamay for red and rosé wines, typicalConsumerPerception, easy-drinking]
-
A.
influencedPerceptionOf
Indicates that one entity has affected, shaped, or altered how another entity is perceived or understood.
-
B.
typicalAssumption
Indicates that something is taken as a standard or default assumption that generally holds in typical or normal circumstances.
-
C.
hasPublicPerception
chosen
Indicates that an entity is associated with a particular way it is viewed, judged, or regarded by the general public or society.
-
D.
typicalAudience
Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
-
E.
typicalConsistency
Indicates that one entity characteristically maintains a regular or expected level of consistency in relation to another entity or context.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79788d44c819084f35693ed96f422 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.