Triple
T20187368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Burger |
E492896
|
entity |
| Predicate | isPartOfMenu |
P19940
|
FINISHED |
| Object | Toadstool Cafe menu |
—
|
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: Toadstool Cafe menu | Statement: [Mario Burger, isPartOfMenu, Toadstool Cafe menu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfMenu Context triple: [Mario Burger, isPartOfMenu, Toadstool Cafe menu]
-
A.
servesPartOf
Indicates that one entity functions as a service or provider that operates within, or as a component of, another larger system or context.
-
B.
hasCuisineItem
Indicates that a particular cuisine includes, features, or is associated with a specific food item.
-
C.
menuItemType
Indicates the relationship between a menu item and the type or category it belongs to (e.g., appetizer, main course, dessert).
-
D.
hasMenuItem
chosen
Indicates that one entity (typically a menu or menu section) includes or offers another entity as one of its menu items.
-
E.
isMainCourse
Indicates that an item functions as the primary or central dish within a meal, rather than a side, appetizer, or dessert.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad2c43c8190a2fc5ef2a0514e53 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:36 p.m.