Triple
T6216309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scotiabank Place |
E138995
|
entity |
| Predicate | hasZamboniEntrance |
P6140
|
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: [Scotiabank Place, hasZamboniEntrance, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasZamboniEntrance Context triple: [Scotiabank Place, hasZamboniEntrance, yes]
-
A.
hasEntrance
chosen
Indicates that one entity possesses or provides an entry point or access way to another entity or space.
-
B.
hasLandmarkAtEntrance
Indicates that a specific landmark is located at or directly adjacent to the entrance of something.
-
C.
hasEntranceOn
Indicates that one entity’s entrance or access point is located on or faces a specified side, boundary, or feature of another entity.
-
D.
hasSkiPassSystem
Indicates that there exists a ski pass system associated with or implemented at the referenced entity.
-
E.
hasSkiPatrol
Indicates that an entity is served or overseen by a ski patrol responsible for safety and emergency response on the slopes.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a1eb3881908c7f735cf9c429ce |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.