Triple
T1071484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada's Wonderland |
E23337
|
entity |
| Predicate | hasOnSiteDining |
P4442
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Canada's Wonderland, hasOnSiteDining, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnSiteDining Context triple: [Canada's Wonderland, hasOnSiteDining, Yes]
-
A.
hasRestaurant
chosen
Indicates that one entity possesses, operates, or contains a restaurant associated with it.
-
B.
diningStyle
Indicates the manner or format in which dining is conducted, such as casual, formal, buffet, or family-style.
-
C.
isServedAt
Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
-
D.
hasTastingRoom
Indicates that an establishment provides a dedicated space where visitors can sample or taste its products on-site.
-
E.
hasUnderwaterThemedRestaurant
Indicates that an entity operates or contains a restaurant whose design, ambiance, or concept is themed around underwater or oceanic elements.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92848148190ba8795cb8d0a1d0a |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b73844708190a16c9e9824ca2fb6 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.