Triple
T23548863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobermory 12 Year Old |
E577980
|
entity |
| Predicate | tasteInfluence |
P152760
|
FINISHED |
| Object | maritime climate |
—
|
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: maritime climate | Statement: [Tobermory 12 Year Old, tasteInfluence, maritime climate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tasteInfluence Context triple: [Tobermory 12 Year Old, tasteInfluence, maritime climate]
-
A.
cuisineInfluence
Indicates that one cuisine has had a notable impact on the development, style, or characteristics of another cuisine.
-
B.
hasTasteIntensity
Indicates the degree or strength of taste associated with something.
-
C.
tasteComparedTo
Indicates a comparison of the taste or flavor of one entity relative to another.
-
D.
leafTaste
Indicates that one entity has a particular taste or flavor associated with its leaves.
-
E.
hasTastingProfile
Indicates that an entity possesses a specific flavor or sensory profile, typically describing its characteristic tastes and aromas.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecd60a881908c257d9ba67080c8 |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:11 p.m.