Triple
T26564792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monitor ERP Arena |
E666346
|
entity |
| Predicate | hasMainTenantSport |
P31372
|
FINISHED |
| Object | 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: ice hockey | Statement: [Monitor ERP Arena, hasMainTenantSport, ice hockey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainTenantSport Context triple: [Monitor ERP Arena, hasMainTenantSport, ice hockey]
-
A.
hasMajorSport
Indicates that an entity is associated with or participates in a primary or most prominent sport.
-
B.
tenantSport
chosen
Indicates that a tenant participates in or is associated with a particular sport.
-
C.
hasSportsService
Indicates that an entity provides or is associated with a sports-related service.
-
D.
sportsTenant
Indicates that one entity occupies or uses a sports facility or venue as a tenant under some form of agreement or arrangement.
-
E.
hasSportsVenueType
Indicates that a sports venue is classified as being of a specific type or category (e.g., stadium, arena, court).
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 27, 2026, 1:54 a.m.