Triple
T10387486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel’s Diner |
E244799
|
entity |
| Predicate | menuItemType |
P93917
|
FINISHED |
| Object | burger |
—
|
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: burger | Statement: [Mel’s Diner, menuItemType, burger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: menuItemType Context triple: [Mel’s Diner, menuItemType, burger]
-
A.
menuCategory
Indicates the classification relationship that assigns an item to a specific section or category within a menu.
-
B.
menuPath
Indicates the hierarchical navigation route or sequence of menu items used to access a particular option or function within a menu system.
-
C.
hasMenuItem
Indicates that one entity (typically a menu or menu section) includes or offers another entity as one of its menu items.
-
D.
foodItem
Indicates that one entity is a food item that can be eaten or used as food in relation to another entity.
-
E.
hasKidsMenu
Indicates that an establishment offers a menu specifically designed for children.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a4e6748190bd9dd319de94c659 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:05 p.m.