Triple
T12396337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermentino |
E296125
|
entity |
| Predicate | primaryFlavors |
P90711
|
FINISHED |
| Object | citrus |
—
|
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 | Statement: [Vermentino, primaryFlavors, citrus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFlavors Context triple: [Vermentino, primaryFlavors, citrus]
-
A.
primaryFlavor
chosen
Indicates the dominant or most characteristic taste associated with an item relative to other possible flavors.
-
B.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
-
C.
primaryFood
Indicates that one entity serves as the main or most important food source for another entity.
-
D.
primaryAroma
Indicates the main or most dominant scent associated with an entity, distinguishing it from secondary or background aromas.
-
E.
primaryFoodType
Indicates the main category of food that characterizes what an entity primarily eats or serves.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd33f048190b205fd21dc513f6a |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.