Triple
T26310834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libre Eau de Toilette |
E661814
|
entity |
| Predicate | topNotesInclude |
P39617
|
FINISHED |
| Object | citrus notes |
—
|
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: citrus notes | Statement: [Libre Eau de Toilette, topNotesInclude, citrus notes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topNotesInclude Context triple: [Libre Eau de Toilette, topNotesInclude, citrus notes]
-
A.
topNote
chosen
Indicates that one entity serves as the primary or highest-level note associated with another entity.
-
B.
heartNotesInclude
Indicates that one entity’s heart-related notes contain or encompass the other entity as part of their recorded content.
-
C.
baseNotes
Indicates the fundamental or underlying elements, tones, or components that serve as the primary basis for something.
-
D.
notableCollectionIncludes
Indicates that a notable or significant collection contains or features the specified item as one of its components.
-
E.
supportsNotes
Indicates that one entity provides the capability for creating, storing, or handling notes associated with 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60ee7e6348190951e6f9647f5555b |
completed | May 2, 2026, 2:49 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 10:22 p.m.