Triple
T19341791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ribolla Gialla |
E483771
|
entity |
| Predicate | skinContactSuitability |
P135481
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Ribolla Gialla, skinContactSuitability, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skinContactSuitability Context triple: [Ribolla Gialla, skinContactSuitability, high]
-
A.
isNonAllergenic
Indicates that something does not cause allergic reactions or is free from common allergens.
-
B.
lessSuitableFor
Indicates that one entity is comparatively less appropriate, effective, or fitting than another for a given purpose, context, or condition.
-
C.
LD50DermalHumanEstimate
Indicates the estimated dermal (skin exposure) dose of a substance that is lethal to 50% of a human population under specified conditions.
-
D.
protectiveEquipment
Indicates that one entity serves as protective equipment used to safeguard another entity from harm or risk.
-
E.
dermatologicallyTested
Indicates that a product has undergone testing on human skin under dermatological supervision to assess its safety or skin compatibility.
- F. None of above. chosen
Provenance (4 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185795bc8190a63061ca794c0d67 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:33 p.m.