Triple
T4646681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pithla Bhakri |
E102187
|
entity |
| Predicate | glutenFreeComponent |
P58894
|
FINISHED |
| Object | Pithla |
—
|
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: Pithla | Statement: [Pithla Bhakri, glutenFreeComponent, Pithla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: glutenFreeComponent Context triple: [Pithla Bhakri, glutenFreeComponent, Pithla]
-
A.
foodCustom
Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
-
B.
isTypicallyGarnishedWith
Indicates that one item is commonly used as a garnish or decorative finishing element for another.
-
C.
hasCuisineItem
Indicates that a particular cuisine includes, features, or is associated with a specific food item.
-
D.
hasMainIngredient
Indicates that one entity is the primary or most significant ingredient used to make another entity.
-
E.
ingredientType
Indicates that one entity is classified as a specific type or category of ingredient in relation to another.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd663092cc81909308f89ee1a417e4 |
completed | March 20, 2026, 3:22 p.m. |
Created at: March 20, 2026, 1:14 p.m.