Triple
T24939255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura 18 Year Old |
E623401
|
entity |
| Predicate | tastingNote |
P69349
|
FINISHED |
| Object | dark chocolate |
—
|
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: dark chocolate | Statement: [Jura 18 Year Old, tastingNote, dark chocolate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tastingNote Context triple: [Jura 18 Year Old, tastingNote, dark chocolate]
-
A.
notableFlavorNotes
Indicates that something is characterized by specific, distinguishable flavor notes that are especially prominent or noteworthy.
-
B.
wineCharacteristic
Indicates a descriptive property or quality attributed to a wine, such as its flavor, aroma, color, or style.
-
C.
leafTaste
Indicates that one entity has a particular taste or flavor associated with its leaves.
-
D.
allowsTastingOf
Indicates that one entity permits another entity to sample or try the taste of something.
-
E.
hasTastingProfile
chosen
Indicates that an entity possesses a specific flavor or sensory profile, typically describing its characteristic tastes and aromas.
- 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:30 a.m.