Triple
T16246071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinsault |
E394373
|
entity |
| Predicate | hasBerryCharacteristic |
P274
|
FINISHED |
| Object | large berries |
—
|
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: large berries | Statement: [Cinsault, hasBerryCharacteristic, large berries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBerryCharacteristic Context triple: [Cinsault, hasBerryCharacteristic, large berries]
-
A.
hasFruitType
Indicates that an entity possesses or is associated with a specific type or category of fruit.
-
B.
hasCharacteristic
chosen
Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
-
C.
hasHolderCharacteristic
Indicates that a holder (such as an owner, container, or bearer) possesses or exhibits a particular characteristic or attribute.
-
D.
colorOfBerrySkin
Indicates the specific color that characterizes the outer skin of a berry.
-
E.
isCherrySpecies
Indicates that one entity is a biological species classified as a type of cherry in relation 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24561d250819096f709ea8751fcb9 |
completed | April 17, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.