Triple
T2188183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BCE Inc. |
E49798
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object | Bell Mobility |
E50567
|
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: Bell Mobility | Statement: [BCE Inc., subsidiary, Bell Mobility]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bell Mobility Context triple: [BCE Inc., subsidiary, Bell Mobility]
-
A.
Bell Canada
chosen
Bell Canada is a major Canadian telecommunications company providing phone, internet, and television services nationwide.
-
B.
Rogers Communications
Rogers Communications is a major Canadian telecommunications and media company providing wireless, cable, internet, and broadcasting services nationwide.
-
C.
T-Mobile US
T-Mobile US is a major American wireless network operator known for its nationwide mobile phone services and aggressive “Un-carrier” marketing strategy.
-
D.
Northern Telecom
Northern Telecom was a major Canadian telecommunications equipment manufacturer and technology company, later known as Nortel Networks, that played a significant role in global telecom infrastructure.
-
E.
U.S. Cellular
U.S. Cellular is a regional American wireless telecommunications provider offering mobile phone and data services, primarily in the Midwest and rural areas of the United States.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf373c608190b7716c137b3e9fe9 |
completed | March 7, 2026, 6:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae654016a88190a242d43491f0726c |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:45 p.m.