Triple
T36605497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storybook Treats |
E903032
|
entity |
| Predicate | hasAllergyFriendlyOptions |
P34157
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Storybook Treats, hasAllergyFriendlyOptions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAllergyFriendlyOptions Context triple: [Storybook Treats, hasAllergyFriendlyOptions, yes]
-
A.
isNonAllergenic
Indicates that something does not cause allergic reactions or is free from common allergens.
-
B.
isAllergenFor
Indicates that one entity acts as an allergen that can trigger an allergic reaction in another entity.
-
C.
dietaryOptions
chosen
Indicates the types of diets or food-related preferences, restrictions, or choices that are applicable to or offered for an entity.
-
D.
hasFoodOption
Indicates that an entity offers, provides, or includes a particular type of food or dining option.
-
E.
isGlutenFreeByDefault
Indicates that something is inherently prepared or produced without gluten, without requiring modifications or special requests.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:11 p.m.