Triple
T28553130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | künefe |
E722939
|
entity |
| Predicate | typicallyPreparedIn |
P194878
|
FINISHED |
| Object | round metal pan |
—
|
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: round metal pan | Statement: [künefe, typicallyPreparedIn, round metal pan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicallyPreparedIn Context triple: [künefe, typicallyPreparedIn, round metal pan]
-
A.
placeOfPreparation
chosen
Indicates the location where something (such as an item, product, or document) is prepared or made ready.
-
B.
typeOfPreparation
Indicates the method or process by which something is prepared or made ready for use, consumption, or further action.
-
C.
typicalPreparation
Indicates the usual or standard way in which something is prepared or made.
-
D.
preparesFoodFor
Indicates that one entity makes or cooks food intended to be eaten by another entity.
-
E.
isOftenPreparedTableside
Indicates that the dish or item is frequently assembled, cooked, or finished in front of guests at their table rather than entirely in the kitchen.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a00bcfed6448190b2e816bbe7c61c55 |
completed | May 10, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_6a00bc7be24c81908ba5c1957edd2c10 |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 28, 2026, 3:44 a.m.