Triple
T16323689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WDSY-FM |
E396360
|
entity |
| Predicate | formerCallsign |
P4444
|
FINISHED |
| Object |
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.
|
E1206872
|
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: WEEP-FM | Statement: [WDSY-FM, formerCallsign, WEEP-FM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WEEP-FM Context triple: [WDSY-FM, formerCallsign, WEEP-FM]
-
A.
WIP-FM
WIP-FM is a Philadelphia-based sports radio station known for its live coverage of local teams and sports talk programming.
-
B.
WAPP-FM
WAPP-FM was a New York City FM radio station best known in the early 1980s for its rock format and for helping launch the career of Jon Bon Jovi with the song "Runaway."
-
C.
Wasafi FM
Wasafi FM is a Tanzanian radio station associated with the Wasafi media brand founded by musician Diamond Platnumz, known for broadcasting contemporary Bongo Flava and entertainment content.
-
D.
WAAF-FM
WAAF-FM was a Boston-area rock radio station known for its edgy programming and popular on-air personalities.
-
E.
WMHW-FM
WMHW-FM is a student-run radio station serving the Central Michigan University community with a variety of music, news, and campus 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: WEEP-FM Triple: [WDSY-FM, formerCallsign, WEEP-FM]
Generated description
WEEP-FM was a Pittsburgh-area radio station best known for its longtime country music format before changing its call sign to WDSY-FM.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WEEP-FM Target entity description: WEEP-FM was a Pittsburgh-area radio station best known for its longtime country music format before changing its call sign to WDSY-FM.
-
A.
WIP-FM
WIP-FM is a Philadelphia-based sports radio station known for its live coverage of local teams and sports talk programming.
-
B.
WAPP-FM
WAPP-FM was a New York City FM radio station best known in the early 1980s for its rock format and for helping launch the career of Jon Bon Jovi with the song "Runaway."
-
C.
Wasafi FM
Wasafi FM is a Tanzanian radio station associated with the Wasafi media brand founded by musician Diamond Platnumz, known for broadcasting contemporary Bongo Flava and entertainment content.
-
D.
WAAF-FM
WAAF-FM was a Boston-area rock radio station known for its edgy programming and popular on-air personalities.
-
E.
WMHW-FM
WMHW-FM is a student-run radio station serving the Central Michigan University community with a variety of music, news, and campus 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b82fe88190a448597b7827f859 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ab4208190900f21cb4f08f926 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a00276bc80c819083c88ea52c67cdad |
completed | May 10, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00281b056c8190bbfc4897a8d3973b |
completed | May 10, 2026, 6:39 a.m. |
Created at: April 10, 2026, 5:06 a.m.