Triple
T23442455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Pesto |
E565439
|
entity |
| Predicate | ownsRestaurantType |
P81236
|
FINISHED |
| Object | Italian restaurant |
—
|
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: Italian restaurant | Statement: [Jimmy Pesto, ownsRestaurantType, Italian restaurant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownsRestaurantType Context triple: [Jimmy Pesto, ownsRestaurantType, Italian restaurant]
-
A.
hasRestaurantType
chosen
Indicates that an entity is associated with or classified as a particular type or category of restaurant.
-
B.
hasRestaurant
Indicates that one entity possesses, operates, or contains a restaurant associated with it.
-
C.
establishmentType
Indicates the specific kind or category of establishment that an entity is classified as.
-
D.
isDiningDestination
Indicates that a place serves as a destination where people go specifically to eat meals or dine.
-
E.
restaurantName
Indicates the name assigned to a restaurant as its identifying label.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64654e88190b530958b27b32412 |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:51 p.m.