Triple
T759650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Cup of Hockey |
E16036
|
entity |
| Predicate | commercialNature |
P17195
|
FINISHED |
| Object | NHL-operated commercial event |
—
|
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: NHL-operated commercial event | Statement: [World Cup of Hockey, commercialNature, NHL-operated commercial event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commercialNature Context triple: [World Cup of Hockey, commercialNature, NHL-operated commercial event]
-
A.
commercial
Indicates that one entity is engaged in a business-related or profit-oriented relationship, activity, or transaction with another entity.
-
B.
commercialIntroduction
Indicates that one entity introduces or connects another entity to a commercial opportunity, partner, product, or service for business purposes.
-
C.
commercialSignificance
Indicates that something has notable economic or business importance, value, or impact in a commercial context.
-
D.
commercialized
Indicates that something has been developed, marketed, or exploited for profit in a commercial context.
-
E.
commercialArm
chosen
Indicates that an entity functions as the business or revenue-generating division/branch of another organization.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a67f9778819098d3c144dd26b976 |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a5048a8081908d0542214142664a |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.