Triple
T24587979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GKS Tychy |
E608448
|
entity |
| Predicate | iceHockeyArenaCapacity |
P156462
|
FINISHED |
| Object | 2500 |
—
|
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: 2500 | Statement: [GKS Tychy, iceHockeyArenaCapacity, 2500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iceHockeyArenaCapacity Context triple: [GKS Tychy, iceHockeyArenaCapacity, 2500]
-
A.
mainIceHockeyVenue
Indicates that a location serves as the primary venue where a team or organization regularly plays its ice hockey games.
-
B.
hasIceHockeyCapacity
Indicates that an entity is capable of hosting or accommodating ice hockey activities, such as games or practices.
-
C.
hasLargestStandingRoomInEuropeForIceHockey
Indicates that the subject venue possesses the largest standing-room capacity in Europe specifically for ice hockey events.
-
D.
homeArenaHockey
Indicates that a particular arena serves as the designated home venue for a specific hockey team.
-
E.
iceRinkName
Indicates that an entity has the specified name of an ice rink.
- F. None of above. chosen
Provenance (4 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9898f708190b521317207c79f64 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:29 a.m.