Triple
T12285087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramos Fizz |
E292807
|
entity |
| Predicate | aromaticComponent |
P23045
|
FINISHED |
| Object | orange flower water |
—
|
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: orange flower water | Statement: [Ramos Fizz, aromaticComponent, orange flower water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aromaticComponent Context triple: [Ramos Fizz, aromaticComponent, orange flower water]
-
A.
aromaticOilsPresent
Indicates that aromatic oils are present in or associated with the specified entity or context.
-
B.
lessAromaticThan
Indicates that one entity has a lower degree of aromaticity than another entity.
-
C.
isAromatic
Indicates that an entity possesses aromatic character, typically involving a conjugated ring system with delocalized electrons that confer special stability or scent-related properties.
-
D.
hasFragrance
chosen
Indicates that one entity possesses or emits a particular scent or aroma associated with another entity.
-
E.
secondaryAroma
Indicates that an entity has a secondary or supporting aroma characteristic in addition to its primary scent.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9261e1570819084bb4fdb44aa6aea |
completed | April 10, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69d91c4d9a9c8190aeb7beaf9792d8f0 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.