Triple
T33841137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ensure Max Protein |
E867359
|
entity |
| Predicate | isGluten |
P177774
|
FINISHED |
| Object | gluten-free |
—
|
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 | Statement: [Ensure Max Protein, isGluten, gluten-free]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGluten Context triple: [Ensure Max Protein, isGluten, gluten-free]
-
A.
isGlutenFree
Indicates that something does not contain gluten and is suitable for individuals avoiding gluten in their diet.
-
B.
isGlutenFreeByDefault
Indicates that something is inherently prepared or produced without gluten, without requiring modifications or special requests.
-
C.
glutenFreeComponent
Indicates that one entity is a component or ingredient of another and is free from gluten.
-
D.
mayBeGlutenFreeIf
Indicates that something has the potential to be gluten-free under certain conditions or assumptions.
-
E.
isAllergenFor
Indicates that one entity acts as an allergen that can trigger an allergic reaction in another entity.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:47 a.m.