Triple
T4646682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pithla Bhakri |
E102187
|
entity |
| Predicate | mayBeGlutenFreeIf |
P58895
|
FINISHED |
| Object | Bhakri is made from millet or rice flour |
—
|
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: Bhakri is made from millet or rice flour | Statement: [Pithla Bhakri, mayBeGlutenFreeIf, Bhakri is made from millet or rice flour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeGlutenFreeIf Context triple: [Pithla Bhakri, mayBeGlutenFreeIf, Bhakri is made from millet or rice flour]
-
A.
mayBeGivenTo
Indicates that something is permitted or eligible to be transferred, assigned, or provided from one entity to another.
-
B.
isSugarFree
Indicates that something does not contain sugar or has been formulated without added sugar.
-
C.
hasSugarFreeVariant
Indicates that an item has a corresponding version or option that is formulated without sugar.
-
D.
isTypicallyGarnishedWith
Indicates that one item is commonly used as a garnish or decorative finishing element for another.
-
E.
containsAdditives
Indicates that one entity includes or is composed of additional substances or ingredients beyond its primary or original components.
- 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.