Triple
T17453948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melissa officinalis |
E424983
|
entity |
| Predicate | leafScent |
P95361
|
FINISHED |
| Object | lemon-scented |
—
|
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: lemon-scented | Statement: [Melissa officinalis, leafScent, lemon-scented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leafScent Context triple: [Melissa officinalis, leafScent, lemon-scented]
-
A.
leafTaste
Indicates that one entity has a particular taste or flavor associated with its leaves.
-
B.
leaves
Indicates that an entity departs from or goes away from another entity, location, or situation.
-
C.
noseleaf
Indicates that an entity possesses or is characterized by a specialized leaf-like structure on or around the nose, typically associated with certain animals (such as bats).
-
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.
aromaticOilsPresent
chosen
Indicates that aromatic oils are present in or associated with the specified entity or context.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451406c748190b5ac6aacff7a3cc7 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.