Triple
T32147313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | crème brûlée |
E821054
|
entity |
| Predicate | isGlutenFreeByDefault |
P173633
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [crème brûlée, isGlutenFreeByDefault, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGlutenFreeByDefault Context triple: [crème brûlée, isGlutenFreeByDefault, true]
-
A.
isGlutenFree
Indicates that something does not contain gluten and is suitable for individuals avoiding gluten in their diet.
-
B.
glutenFreeComponent
Indicates that one entity is a component or ingredient of another and is free from gluten.
-
C.
mayBeGlutenFreeIf
Indicates that something has the potential to be gluten-free under certain conditions or assumptions.
-
D.
isDairyFree
Indicates that something does not contain dairy ingredients or components derived from milk.
-
E.
isTypicallyConsumedFrom
Indicates that one entity is most commonly eaten or drunk using, contained in, or taken from the other 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b9e567908190abe980a80db9a7af |
completed | May 3, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:31 a.m.