Triple
T5880570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corel Centre |
E130737
|
entity |
| Predicate | capacityForIceHockey |
P3606
|
FINISHED |
| Object | approximately 18000 |
—
|
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: approximately 18000 | Statement: [Corel Centre, capacityForIceHockey, approximately 18000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capacityForIceHockey Context triple: [Corel Centre, capacityForIceHockey, approximately 18000]
-
A.
numberOfPlayersOnIcePerTeam
Indicates the count of players from a single team who are on the ice at the same time during play.
-
B.
hasIceArena
Indicates that one entity possesses, contains, or includes an ice arena as a facility or feature.
-
C.
iceRinkType
Indicates the specific kind or category of an ice rink associated with an entity (e.g., indoor, outdoor, Olympic-sized).
-
D.
capacityDuring1998WinterOlympics
Indicates the seating or usage capacity of a venue specifically during the period of the 1998 Winter Olympics.
-
E.
homeArenaCapacity
chosen
Indicates the maximum number of spectators that can be accommodated in an entity’s home arena.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:57 p.m.