Triple
T28473710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avena sativa |
E720504
|
entity |
| Predicate | glutenContent |
P83271
|
FINISHED |
| Object | naturally 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: naturally gluten-free | Statement: [Avena sativa, glutenContent, naturally gluten-free]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: glutenContent Context triple: [Avena sativa, glutenContent, naturally gluten-free]
-
A.
glutenFreeComponent
Indicates that one entity is a component or ingredient of another and is free from gluten.
-
B.
isGlutenFree
chosen
Indicates that something does not contain gluten and is suitable for individuals avoiding gluten in their diet.
-
C.
mayBeGlutenFreeIf
Indicates that something has the potential to be gluten-free under certain conditions or assumptions.
-
D.
hasNutrientContent
Indicates that one entity contains or provides a specified amount or type of nutrient relative to another entity or standard.
-
E.
lactoseContent
Indicates the amount or presence of lactose contained within a given substance or product.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64ee36c748190aeccf2ca67ea86c1 |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 2:50 a.m.