Triple
T34813421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czech cuisine |
E1003559
|
entity |
| Predicate | typicalDumpling |
P19483
|
FINISHED |
| Object | houskové knedlíky |
—
|
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: houskové knedlíky | Statement: [Czech cuisine, typicalDumpling, houskové knedlíky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDumpling Context triple: [Czech cuisine, typicalDumpling, houskové knedlíky]
-
A.
noodleType
Indicates the specific kind or category of noodle associated with an entity.
-
B.
typicalBunType
Indicates the type of bun that is most commonly or characteristically used with a given item (such as a sandwich or burger).
-
C.
traditionalDish
chosen
Indicates that the object is a dish customarily prepared, eaten, or recognized within the subject’s cultural or regional tradition.
-
D.
isTypicallyEatenWith
Indicates that one item is commonly consumed together with another as part of the same eating occasion or dish.
-
E.
containsNoodles
Indicates that one entity (typically a dish or food item) includes noodles as one of its components.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.