Triple
T22837240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bussolai buranelli biscuits |
E565979
|
entity |
| Predicate | leavening |
P130937
|
FINISHED |
| Object | unleavened or minimally leavened |
—
|
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: unleavened or minimally leavened | Statement: [bussolai buranelli biscuits, leavening, unleavened or minimally leavened]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leavening Context triple: [bussolai buranelli biscuits, leavening, unleavened or minimally leavened]
-
A.
batter
Indicates that one entity physically strikes or beats another entity, typically with repeated or forceful blows.
-
B.
doughCharacteristic
chosen
Indicates that a specified quality, property, or attribute is being ascribed to a particular dough.
-
C.
fermentationAgent
Indicates that one entity serves as the agent or catalyst that carries out the fermentation process on another entity.
-
D.
doughType
Indicates the specific kind or category of dough used or associated with an item or preparation.
-
E.
breadType
Indicates the specific kind or category of bread associated with an 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e303cec81909c5c118dc8c93354 |
completed | April 29, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:35 p.m.