Triple
T16550545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distillerie Bellevue |
E402059
|
entity |
| Predicate | rawMaterialForm |
P10683
|
FINISHED |
| Object | fresh sugarcane juice |
—
|
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: fresh sugarcane juice | Statement: [Distillerie Bellevue, rawMaterialForm, fresh sugarcane juice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rawMaterialForm Context triple: [Distillerie Bellevue, rawMaterialForm, fresh sugarcane juice]
-
A.
materialFormedIn
Indicates that a material is created, produced, or formed within a specified process, environment, or context.
-
B.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
C.
materialSource
Indicates that one entity serves as the origin or provider of the material or substance used by another entity.
-
D.
sourceMaterialType
chosen
Indicates the type or category of material from which something originates or is derived.
-
E.
constructionForm
Indicates the method, style, or structural technique by which something is built or constructed.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc451dc8190b571d5010f4017f4 |
completed | April 18, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:15 a.m.