Triple
T32929796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KL Sports City |
E842368
|
entity |
| Predicate | hasHockeyStadium |
P5119
|
FINISHED |
| Object | National Hockey Stadium |
—
|
NE NERFINISHED |
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: National Hockey Stadium | Statement: [KL Sports City, hasHockeyStadium, National Hockey Stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHockeyStadium Context triple: [KL Sports City, hasHockeyStadium, National Hockey Stadium]
-
A.
containsStadium
chosen
Indicates that a location or area includes a stadium within its boundaries or premises.
-
B.
hasProfessionalSportsVenue
Indicates that one entity possesses or hosts a venue specifically used for professional sports events.
-
C.
hasIceArena
Indicates that one entity possesses, contains, or includes an ice arena as a facility or feature.
-
D.
hasIceHockeyCapacity
Indicates that an entity is capable of hosting or accommodating ice hockey activities, such as games or practices.
-
E.
hasSportsTeamVenueFor
Indicates that a venue serves as the home or hosting location for a particular sports team.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: May 1, 2026, 1:20 a.m.