Triple
T15645926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scoops |
E376175
|
entity |
| Predicate | textureDesign |
P96596
|
FINISHED |
| Object | sturdy for dipping |
—
|
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: sturdy for dipping | Statement: [Scoops, textureDesign, sturdy for dipping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textureDesign Context triple: [Scoops, textureDesign, sturdy for dipping]
-
A.
texture
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
B.
textureTreatment
Indicates how an entity’s surface feel or texture has been modified, processed, or treated.
-
C.
wallpaperDesigner
Indicates that one entity is the designer or creator of the wallpaper associated with another entity.
-
D.
maskDesigner
Indicates that one entity is the designer or creator of a particular mask associated with another entity.
-
E.
textureFeatures
chosen
Indicates that one entity possesses or is characterized by specific surface or material texture properties described by the other 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.