Triple
T35941539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Panthers IceDen |
E1039456
|
entity |
| Predicate | numberOfRinks |
—
|
GENERATED |
| Object | 3 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRinks Context triple: [Florida Panthers IceDen, numberOfRinks, 3]
-
A.
hasRinkCount
chosen
Indicates the number of ice rinks associated with or contained within a given entity.
-
B.
hasIceRinks
Indicates that an entity possesses, contains, or provides access to one or more ice rinks.
-
C.
iceRinkType
Indicates the specific kind or category of an ice rink associated with an entity (e.g., indoor, outdoor, Olympic-sized).
-
D.
hasIceRinkDimensions
Indicates that an entity possesses or is characterized by specific ice rink measurements or size specifications.
-
E.
iceRinkName
Indicates that an entity has the specified name of an ice rink.
- F. None of above.
Provenance (1 batch)
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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.