Triple
T8714459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oktoberfestbier |
E206859
|
entity |
| Predicate | aromaDescriptors |
P71396
|
FINISHED |
| Object | malty |
—
|
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: malty | Statement: [Oktoberfestbier, aromaDescriptors, malty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aromaDescriptors Context triple: [Oktoberfestbier, aromaDescriptors, malty]
-
A.
olfactoryFamily
Indicates a relationship where one entity belongs to, or is categorized within, a particular olfactory family or scent classification defined by the other entity.
-
B.
secondaryAroma
Indicates that an entity has a secondary or supporting aroma characteristic in addition to its primary scent.
-
C.
primaryAroma
chosen
Indicates the main or most dominant scent associated with an entity, distinguishing it from secondary or background aromas.
-
D.
senseOfSmell
Indicates that one entity has the ability to detect or perceive odors or scents through the sense of smell.
-
E.
olfactoryStyle
Indicates a relationship where one entity’s characteristic way of perceiving, using, or expressing smell is associated with or attributed to another entity.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd6707c819092c9fca34f273d5e |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.