Triple
T27815947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biscuits n’ Gravy |
E702665
|
entity |
| Predicate | evokesMealType |
P163381
|
FINISHED |
| Object | brunch |
—
|
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: brunch | Statement: [Biscuits n’ Gravy, evokesMealType, brunch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evokesMealType Context triple: [Biscuits n’ Gravy, evokesMealType, brunch]
-
A.
evokesMealType
chosen
Indicates that one entity (such as a cue, context, or item) brings to mind or suggests a particular type of meal (e.g., breakfast, lunch, dinner) associated with it.
-
B.
feastType
Indicates the specific kind or category of feast associated with an event or occasion.
-
C.
commonMealType
Indicates that two entities share the same general category or type of meal (e.g., breakfast, lunch, dinner).
-
D.
intendedMeal
Indicates that one entity is the meal that another entity plans or expects to eat.
-
E.
intendedFood
Indicates that one entity is the food item that another entity plans or is meant to eat or consume.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:45 p.m.