Triple
T456720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khachapuri |
E7248
|
entity |
| Predicate | hasDoughType |
P11943
|
FINISHED |
| Object | yeast-leavened dough |
—
|
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: yeast-leavened dough | Statement: [Khachapuri, hasDoughType, yeast-leavened dough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDoughType Context triple: [Khachapuri, hasDoughType, yeast-leavened dough]
-
A.
doughType
chosen
Indicates the specific kind or category of dough used or associated with an item or preparation.
-
B.
hasCrustType
Indicates that an entity (such as a pizza or pie) is associated with a specific type or style of crust.
-
C.
hasMainIngredient
Indicates that one entity is the primary or most significant ingredient used to make another entity.
-
D.
isToppedWith
Indicates that one entity serves as a topping placed on the surface of another entity.
-
E.
BakerYield
Indicates the amount or output produced by a baker, typically in terms of quantity or volume of baked goods resulting from a given process or batch.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efa1616481909399f92551a0c9e3 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede614b88190be07425f5535f56d |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.