Triple
T17882362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Hauser Centre |
E447118
|
entity |
| Predicate | hasLeagueLevelTenant |
P29691
|
FINISHED |
| Object | major junior ice hockey |
—
|
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: major junior ice hockey | Statement: [Art Hauser Centre, hasLeagueLevelTenant, major junior ice hockey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeagueLevelTenant Context triple: [Art Hauser Centre, hasLeagueLevelTenant, major junior ice hockey]
-
A.
leagueLevelOfTenant
chosen
Indicates the competitive league tier or division in which the tenant entity participates or is classified.
-
B.
hasTenants
Indicates that an entity occupies or rents space from another entity as its tenant.
-
C.
isTopLevelLeagueIn
Indicates that a sports league is the highest (top-tier) competitive level within a specified country or region.
-
D.
hasTenantSince
Indicates that an entity has been the tenant of another entity starting from a specified point in time.
-
E.
leagueAffiliationOfTenant
Indicates the sports league with which a tenant (such as a team or club) is formally affiliated.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0f40fc8190b2e615b41829f5df |
completed | April 19, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:18 a.m.