Triple
T8553576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creole cuisine |
E202504
|
entity |
| Predicate | typicalCookingFat |
P40978
|
FINISHED |
| Object | butter |
—
|
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: butter | Statement: [Creole cuisine, typicalCookingFat, butter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCookingFat Context triple: [Creole cuisine, typicalCookingFat, butter]
-
A.
typicalFatContent
Indicates the usual or characteristic amount of fat contained in something, such as a food or product.
-
B.
fattyAcid
Indicates a relationship where one entity is a fatty acid component, derivative, or participant in a process involving another entity.
-
C.
typicalFatUsed
chosen
Indicates that a particular type of fat is commonly or characteristically used in a given context or application.
-
D.
isUsuallyCookedIn
Indicates that something is most commonly or typically prepared or cooked within a particular container, appliance, or environment.
-
E.
typicalMeat
Indicates that something is commonly or characteristically used or regarded as meat in a given context.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe8894e7c8190bc0ae2ceec473ecb |
completed | March 31, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:19 p.m.