Triple
T18917931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CKFM-FM |
E462767
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object |
CFMJ
CFMJ is a Canadian AM radio station based in the Greater Toronto Area, best known for its news and talk radio programming.
|
E1349894
|
NE FINISHED |
How this triple was built (4 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: CFMJ | Statement: [CKFM-FM, sisterStation, CFMJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CFMJ Context triple: [CKFM-FM, sisterStation, CFMJ]
-
A.
CKFM-FM
CKFM-FM is a Toronto-based Canadian radio station, best known as the contemporary hit music outlet branded as 99.9 Virgin Radio.
-
B.
WCFS-FM
WCFS-FM is a Chicago-based FM radio station owned by Audacy that simulcasts the all-news format of WBBM (AM).
-
C.
Jack FM
Jack FM is a Canadian radio network brand known for its adult hits format and slogan “playing what we want,” featuring a wide variety of popular music from past decades.
-
D.
WEEP-FM
WEEP-FM was a Pittsburgh-area radio station best known for its longtime country music format before changing its call sign to WDSY-FM.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CFMJ Triple: [CKFM-FM, sisterStation, CFMJ]
Generated description
CFMJ is a Canadian AM radio station based in the Greater Toronto Area, best known for its news and talk radio programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CFMJ Target entity description: CFMJ is a Canadian AM radio station based in the Greater Toronto Area, best known for its news and talk radio programming.
-
A.
CKFM-FM
CKFM-FM is a Toronto-based Canadian radio station, best known as the contemporary hit music outlet branded as 99.9 Virgin Radio.
-
B.
WCFS-FM
WCFS-FM is a Chicago-based FM radio station owned by Audacy that simulcasts the all-news format of WBBM (AM).
-
C.
Jack FM
Jack FM is a Canadian radio network brand known for its adult hits format and slogan “playing what we want,” featuring a wide variety of popular music from past decades.
-
D.
WEEP-FM
WEEP-FM was a Pittsburgh-area radio station best known for its longtime country music format before changing its call sign to WDSY-FM.
-
E.
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.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0591165cbc8190a0aafbd6611c8095 |
completed | May 14, 2026, 9:08 a.m. |
| NEDg | Description generation | batch_6a05965ab9a081909e430d9bef63c820 |
completed | May 14, 2026, 9:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0596c2ee4c8190b3b4db9afa4d1bed |
completed | May 14, 2026, 9:32 a.m. |
Created at: April 10, 2026, 11:59 a.m.