Triple
T18917938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CKFM-FM |
E462767
|
entity |
| Predicate | formerBranding |
P1501
|
FINISHED |
| Object | Mix 99.9 |
—
|
NE NERFINISHED |
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: Mix 99.9 | Statement: [CKFM-FM, formerBranding, Mix 99.9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mix 99.9 Context triple: [CKFM-FM, formerBranding, Mix 99.9]
-
A.
Big 98.1
Big 98.1 is a Philadelphia-area FM radio station brand known for playing classic hits and oldies.
-
B.
Kiss FM
Kiss FM is a popular radio station brand known for broadcasting contemporary hit music and dance tracks, often featuring prominent DJs and club culture programming.
-
C.
CKFM-FM
chosen
CKFM-FM is a Toronto-based Canadian radio station, best known as the contemporary hit music outlet branded as 99.9 Virgin Radio.
-
D.
Capital Radio
Capital Radio is a major London-based commercial radio station that became widely known in the 1970s and 1980s for its popular music programming and influential presenters.
-
E.
Nine Radio
Nine Radio is an Australian commercial radio network that operates talk and news stations as part of the broader Nine Entertainment media group.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c62884988190a362ada1a0a47134 |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:59 a.m.