Triple
T5931598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuber melanosporum |
E131949
|
entity |
| Predicate | aromaDescription |
P23045
|
FINISHED |
| Object | earthy |
—
|
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: earthy | Statement: [Tuber melanosporum, aromaDescription, earthy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aromaDescription Context triple: [Tuber melanosporum, aromaDescription, earthy]
-
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.
hasFragrance
chosen
Indicates that one entity possesses or emits a particular scent or aroma associated with another entity.
-
C.
senseOfSmell
Indicates that one entity has the ability to detect or perceive odors or scents through the sense of smell.
-
D.
wineCharacteristic
Indicates a descriptive property or quality attributed to a wine, such as its flavor, aroma, color, or style.
-
E.
odor
Indicates that one entity emits, possesses, or is characterized by a particular smell detectable by 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.