Triple
T29502704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraft Macaroni & Cheese |
E748416
|
entity |
| Predicate | textureWhenPrepared |
P163373
|
FINISHED |
| Object | creamy sauce |
—
|
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: creamy sauce | Statement: [Kraft Macaroni & Cheese, textureWhenPrepared, creamy sauce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textureWhenPrepared Context triple: [Kraft Macaroni & Cheese, textureWhenPrepared, creamy sauce]
-
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.
textureGoal
chosen
Indicates a desired or target texture that something should achieve or be adjusted toward.
-
C.
imageMaterial
Indicates that one entity serves as the material or physical medium from which the image entity is composed or rendered.
-
D.
usesTexture
Indicates that one entity employs or incorporates the texture of another entity in its appearance, design, or representation.
-
E.
textureOfCenter
Indicates the texture characteristic specifically associated with the central part of an object or region.
- 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_69f0bd455a9c8190b40a3e8ea38cf61f |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c33d4bc81908ab72b03c1d747c6 |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 4:25 p.m.