Triple
T15457867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ice Arena Wales |
E371817
|
entity |
| Predicate | hasIceHockeyCapacity |
P118305
|
FINISHED |
| Object | approximately 3000 |
—
|
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 3000 | Statement: [Ice Arena Wales, hasIceHockeyCapacity, approximately 3000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIceHockeyCapacity Context triple: [Ice Arena Wales, hasIceHockeyCapacity, approximately 3000]
-
A.
hasIceArena
Indicates that one entity possesses, contains, or includes an ice arena as a facility or feature.
-
B.
mainIceHockeyVenue
Indicates that a location serves as the primary venue where a team or organization regularly plays its ice hockey games.
-
C.
hasIceRinkDimensions
Indicates that an entity possesses or is characterized by specific ice rink measurements or size specifications.
-
D.
hasIcePads
Indicates that an entity is equipped with or contains ice pads, typically used for cooling or temperature regulation.
-
E.
playsIceHockeyCode
Indicates that one entity participates in ice hockey under the specific code, ruleset, or organizational classification represented by the other entity.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f1623f0819086f6fc2bfd536609 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded5deee00819099fa3e43313312e1 |
completed | April 15, 2026, 12:03 a.m. |
Created at: April 10, 2026, 3:31 a.m.