Triple
T35363657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Büryan kebab |
E1021565
|
entity |
| Predicate | meatDoneness |
P183059
|
FINISHED |
| Object | well done |
—
|
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: well done | Statement: [Büryan kebab, meatDoneness, well done]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meatDoneness Context triple: [Büryan kebab, meatDoneness, well done]
-
A.
meatPreparation
Indicates the method or process by which meat is treated, cooked, or otherwise prepared for consumption.
-
B.
eggDoneness
Indicates the degree to which an egg has been cooked, typically along a scale from raw to fully done.
-
C.
typicalCookingTime
Indicates the usual duration required to cook something under standard or commonly accepted conditions.
-
D.
meatType
Indicates the specific category or kind of meat associated with an entity.
-
E.
isUsuallyCookedIn
Indicates that something is most commonly or typically prepared or cooked within a particular container, appliance, or environment.
- 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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f795b5228c8190adb5bf86e581f70c |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f79527c7bc8190a69d87bec01f65c8 |
completed | May 3, 2026, 6:34 p.m. |
Created at: May 3, 2026, 4:03 p.m.