Triple
T22837254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bussolai buranelli biscuits |
E565979
|
entity |
| Predicate | suitableForVegans |
P148686
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [bussolai buranelli biscuits, suitableForVegans, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suitableForVegans Context triple: [bussolai buranelli biscuits, suitableForVegans, no]
-
A.
isVegan
Indicates that an entity follows a vegan lifestyle or practice, avoiding the use or consumption of animal products.
-
B.
isVegetarian
Indicates that an entity follows a vegetarian diet, avoiding the consumption of meat and possibly other animal products.
-
C.
isNonVeganInSomeMarkets
chosen
Indicates that the subject is not considered vegan in at least one market or region, even if it may be vegan in others.
-
D.
isDairyFree
Indicates that something does not contain dairy ingredients or components derived from milk.
-
E.
dietaryOptions
Indicates the types of diets or food-related preferences, restrictions, or choices that are applicable to or offered for 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.