Triple
T22800938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Pulteney Distillery |
E564388
|
entity |
| Predicate | notableFlavorNotes |
P149764
|
FINISHED |
| Object | sea salt |
—
|
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: sea salt | Statement: [Old Pulteney Distillery, notableFlavorNotes, sea salt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFlavorNotes Context triple: [Old Pulteney Distillery, notableFlavorNotes, sea salt]
-
A.
coffeeFlavorNotes
Indicates the characteristic taste and aroma qualities associated with a particular coffee, such as specific flavor notes perceived when it is consumed.
-
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.
isFlavored
Indicates that one entity imparts a particular taste or flavor characteristic to another entity.
-
E.
allowsTastingOf
Indicates that one entity permits another entity to sample or try the taste of something.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdc72908190827c9e36a498dc97 |
completed | April 29, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:31 p.m.