Triple
T14373670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Côtes de Genève |
E356416
|
entity |
| Predicate | surfaceEffect |
P16366
|
FINISHED |
| Object | matte and glossy alternation |
—
|
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: matte and glossy alternation | Statement: [Côtes de Genève, surfaceEffect, matte and glossy alternation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceEffect Context triple: [Côtes de Genève, surfaceEffect, matte and glossy alternation]
-
A.
visualEffect
chosen
Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
-
B.
surfaceBehavior
Indicates how an entity behaves or interacts specifically at or on its surface.
-
C.
surfaceChange
Indicates a change in the physical surface characteristics or condition of an entity over time or due to some event or interaction.
-
D.
surfaceColor
Indicates the color that appears on the outer visible surface of an entity.
-
E.
surfaceOperation
Indicates an operation or activity that is performed on or at the surface of an object, material, or environment.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:15 a.m.