Triple
T10900721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Videotron Centre |
E257431
|
entity |
| Predicate | fundedBy |
P67
|
FINISHED |
| Object | Quebecor |
E886800
|
NE 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: Quebecor | Statement: [Videotron Centre, fundedBy, Quebecor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quebecor Context triple: [Videotron Centre, fundedBy, Quebecor]
-
A.
Quebecor (Videotron)
chosen
Quebecor (Videotron) is a major Canadian telecommunications and media company best known for providing cable TV, internet, and wireless services, primarily in Quebec.
-
B.
Rogers Media
Rogers Media is a major Canadian media and communications company that owns and operates television and radio stations, sports media assets, and digital platforms.
-
C.
Mountain Bell
Mountain Bell was a regional Bell Operating Company that provided telephone service across several western U.S. states before being reorganized into US West.
-
D.
Bell Media
Bell Media is a major Canadian multimedia company that operates numerous television channels, radio stations, and digital platforms across the country.
-
E.
Torstar Corporation
Torstar Corporation is a Canadian media company best known as the publisher of the Toronto Star and other newspapers and digital media properties.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d761a2f02881908b70be6499dd8d98 |
completed | April 9, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155306e9081909433522eeecf2b7d |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:22 p.m.