Triple
T33932744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miccosukee Restaurant |
E869941
|
entity |
| Predicate | primaryMealType |
P110353
|
FINISHED |
| Object | lunch |
—
|
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: lunch | Statement: [Miccosukee Restaurant, primaryMealType, lunch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMealType Context triple: [Miccosukee Restaurant, primaryMealType, lunch]
-
A.
primaryFoodType
Indicates the main category of food that characterizes what an entity primarily eats or serves.
-
B.
commonMealType
chosen
Indicates that two entities share the same general category or type of meal (e.g., breakfast, lunch, dinner).
-
C.
primaryFood
Indicates that one entity serves as the main or most important food source for another entity.
-
D.
mainCourse
Indicates that one item serves as the primary or central dish in a meal relative to other accompanying dishes.
-
E.
mealStandard
Indicates that something conforms to a defined or expected standard for a meal (e.g., quality, composition, or requirements).
- 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:49 a.m.