Triple
T32971297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabot cheese |
E843523
|
entity |
| Predicate | hasDietaryFeature |
P34157
|
FINISHED |
| Object | gluten-free (most varieties) |
—
|
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: gluten-free (most varieties) | Statement: [Cabot cheese, hasDietaryFeature, gluten-free (most varieties)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDietaryFeature Context triple: [Cabot cheese, hasDietaryFeature, gluten-free (most varieties)]
-
A.
dietaryConsideration
Indicates a relationship where one entity specifies nutritional restrictions, preferences, or requirements that should be taken into account for another entity.
-
B.
dietaryOptions
chosen
Indicates the types of diets or food-related preferences, restrictions, or choices that are applicable to or offered for an entity.
-
C.
nutrientPreference
Indicates a relationship where one entity has a tendency or requirement to obtain, favor, or utilize a particular nutrient over others.
-
D.
hasDietaryLaw
Indicates that one entity prescribes, follows, or is governed by a specific set of dietary rules or restrictions associated with another entity.
-
E.
cuisineFeature
Indicates a characteristic, quality, or notable aspect that describes or distinguishes a particular cuisine.
- 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_69f3494b9fc48190bb61c955ba471275 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
Created at: May 1, 2026, 1:21 a.m.