Triple
T34297997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fruity Pebbles |
E880086
|
entity |
| Predicate | textureWhenWithMilk |
P178868
|
FINISHED |
| Object | softens quickly |
—
|
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: softens quickly | Statement: [Fruity Pebbles, textureWhenWithMilk, softens quickly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textureWhenWithMilk Context triple: [Fruity Pebbles, textureWhenWithMilk, softens quickly]
-
A.
milkType
Indicates the specific kind or category of milk associated with an entity (e.g., whole, skim, plant-based).
-
B.
milkTreatment
Indicates that an entity is subjected to a process or method of treating or processing milk.
-
C.
hasMilk
Indicates that an entity possesses or contains milk.
-
D.
milkUsedFor
Indicates that the milk is utilized for a particular purpose, function, or activity.
-
E.
texture
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71782422c81908196d5e4a610cb1a |
completed | May 3, 2026, 9:38 a.m. |
Created at: May 1, 2026, 1:57 a.m.