Triple
T28575387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burger King |
E723224
|
entity |
| Predicate | menuAdaptation |
P164649
|
FINISHED |
| Object | localization to regional tastes |
—
|
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: localization to regional tastes | Statement: [Burger King, menuAdaptation, localization to regional tastes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: menuAdaptation Context triple: [Burger King, menuAdaptation, localization to regional tastes]
-
A.
menuType
Indicates the classification or category of a menu (e.g., main menu, context menu, settings menu) associated with an interface or system.
-
B.
menuDesign
Indicates the relationship in which one entity defines or specifies the layout, structure, or visual arrangement of another entity’s menu.
-
C.
menuItemType
Indicates the relationship between a menu item and the type or category it belongs to (e.g., appetizer, main course, dessert).
-
D.
menuPath
Indicates the hierarchical navigation route or sequence of menu items used to access a particular option or function within a menu system.
-
E.
mayAdapt
Indicates that one entity is permitted or allowed to modify, adjust, or alter another entity.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f650c7d5ac81908b1764972e438168 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 4:12 a.m.