Triple
T23038693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fritos |
E573676
|
entity |
| Predicate | glutenFreeStatus |
P73862
|
FINISHED |
| Object | typically 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: typically gluten-free | Statement: [Fritos, glutenFreeStatus, typically gluten-free]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: glutenFreeStatus Context triple: [Fritos, glutenFreeStatus, typically gluten-free]
-
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.
oftenFreeFrom
chosen
Indicates that one entity is frequently or typically without, exempt from, or not affected by another entity or condition.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f185121da0819095b523d7d2c923ab |
completed | April 29, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:53 p.m.