Triple
T3755685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wine Bar George |
E82040
|
entity |
| Predicate | hasMenuType |
P19940
|
FINISHED |
| Object | small plates |
—
|
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: small plates | Statement: [Wine Bar George, hasMenuType, small plates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMenuType Context triple: [Wine Bar George, hasMenuType, small plates]
-
A.
hasMenuItem
chosen
Indicates that one entity (typically a menu or menu section) includes or offers another entity as one of its menu items.
-
B.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
C.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
D.
hasMealType
Indicates that an entity is associated with a specific category or type of meal (such as breakfast, lunch, or dinner).
-
E.
hasServiceType
Indicates that an entity is associated with or categorized by a particular type of service.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb96dd908190b787b112ecd519df |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.