Triple
T13428957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crottin de Chavignol |
E313555
|
entity |
| Predicate | agingAffectsFlavor |
P99452
|
FINISHED |
| Object | flavor becomes more nutty with age |
—
|
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: flavor becomes more nutty with age | Statement: [Crottin de Chavignol, agingAffectsFlavor, flavor becomes more nutty with age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agingAffectsFlavor Context triple: [Crottin de Chavignol, agingAffectsFlavor, flavor becomes more nutty with age]
-
A.
foodEffect
Indicates how consuming a particular food influences or changes another entity, such as an organism, condition, or process.
-
B.
flavorDevelopment
Indicates the process by which the taste characteristics of something change or intensify over time or through specific conditions or treatments.
-
C.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
-
D.
primaryFlavor
Indicates the dominant or most characteristic taste associated with an item relative to other possible flavors.
-
E.
flavorProfileChangeWithAge
chosen
Indicates how the flavor characteristics of something evolve or change as it ages.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed304ac8190a8021f749de8164c |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.