Triple
T16440998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WOGL |
E399300
|
entity |
| Predicate | formerCallsign |
P4444
|
FINISHED |
| Object |
WCAU-FM
WCAU-FM was a Philadelphia-based FM radio station best known for its Top 40 format in the late 20th century before later rebranding as WOGL.
|
E1213060
|
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: WCAU-FM | Statement: [WOGL, formerCallsign, WCAU-FM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WCAU-FM Context triple: [WOGL, formerCallsign, WCAU-FM]
-
A.
KDKA-FM
KDKA-FM is a Pittsburgh-based commercial radio station known for its sports talk programming and affiliation with major local sports teams.
-
B.
WEPN-FM
WEPN-FM is a New York City sports radio station best known as ESPN New York 98.7 FM, featuring local and national sports talk programming.
-
C.
WCAU-TV
WCAU-TV is a Philadelphia-based television station that has long served as a major local news and broadcasting outlet in the region.
-
D.
WJZ-FM
WJZ-FM is a Baltimore-based commercial radio station known for its sports and talk programming.
-
E.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
- 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: WCAU-FM Triple: [WOGL, formerCallsign, WCAU-FM]
Generated description
WCAU-FM was a Philadelphia-based FM radio station best known for its Top 40 format in the late 20th century before later rebranding as WOGL.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WCAU-FM Target entity description: WCAU-FM was a Philadelphia-based FM radio station best known for its Top 40 format in the late 20th century before later rebranding as WOGL.
-
A.
KDKA-FM
KDKA-FM is a Pittsburgh-based commercial radio station known for its sports talk programming and affiliation with major local sports teams.
-
B.
WEPN-FM
WEPN-FM is a New York City sports radio station best known as ESPN New York 98.7 FM, featuring local and national sports talk programming.
-
C.
WCAU-TV
WCAU-TV is a Philadelphia-based television station that has long served as a major local news and broadcasting outlet in the region.
-
D.
WJZ-FM
WJZ-FM is a Baltimore-based commercial radio station known for its sports and talk programming.
-
E.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba7fb0c8190a6a872705cd38987 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458dde8881909778c9964ddc8efa |
completed | May 10, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_6a00472cdc2881908211045515cd21ee |
completed | May 10, 2026, 8:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0047b64ed48190bf3ef07688c1a283 |
completed | May 10, 2026, 8:54 a.m. |
Created at: April 10, 2026, 5:10 a.m.