Triple
T9215939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artemisia |
E221240
|
entity |
| Predicate | odorCharacteristic |
P6479
|
FINISHED |
| Object | strong aromatic scent |
—
|
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: strong aromatic scent | Statement: [Artemisia, odorCharacteristic, strong aromatic scent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: odorCharacteristic Context triple: [Artemisia, odorCharacteristic, strong aromatic scent]
-
A.
odor
chosen
Indicates that one entity emits, possesses, or is characterized by a particular smell detectable by another entity.
-
B.
hasSulfurOdor
Indicates that an entity emits or possesses an odor characteristic of sulfur or sulfur-containing compounds.
-
C.
senseOfSmell
Indicates that one entity has the ability to detect or perceive odors or scents through the sense of smell.
-
D.
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.
-
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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda096358819096d4e790da057512 |
completed | April 1, 2026, 8:40 a.m. |
| PD | Predicate disambiguation | batch_69cc660ce23c81909c7bbe10f4a05f36 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:27 p.m.