Triple
T14013743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WLW |
E337152
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object |
700 WLW
700 WLW is a long-running, high-power AM radio station based in Cincinnati, Ohio, known for its news, talk, and sports programming.
|
E1073120
|
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: 700 WLW | Statement: [WLW, branding, 700 WLW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 700 WLW Context triple: [WLW, branding, 700 WLW]
-
A.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
B.
WOR (AM)
WOR (AM) is a long-running New York City talk radio station known for its news, talk, and syndicated programming.
-
C.
WMMR
WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
-
D.
WLS (AM)
WLS (AM) is a historic Chicago-based AM radio station known for its influential role in American broadcasting, particularly in music and talk radio.
-
E.
KDKA-FM
KDKA-FM is a Pittsburgh-based commercial radio station known for its sports talk programming and affiliation with major local sports 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: 700 WLW Triple: [WLW, branding, 700 WLW]
Generated description
700 WLW is a long-running, high-power AM radio station based in Cincinnati, Ohio, known for its news, talk, and sports programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 700 WLW Target entity description: 700 WLW is a long-running, high-power AM radio station based in Cincinnati, Ohio, known for its news, talk, and sports programming.
-
A.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
B.
WOR (AM)
WOR (AM) is a long-running New York City talk radio station known for its news, talk, and syndicated programming.
-
C.
WMMR
WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
-
D.
WLS (AM)
WLS (AM) is a historic Chicago-based AM radio station known for its influential role in American broadcasting, particularly in music and talk radio.
-
E.
KDKA-FM
KDKA-FM is a Pittsburgh-based commercial radio station known for its sports talk programming and affiliation with major local sports 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f37d11481909159bdb9e1e8d38e |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacaa16e88190995fd86951fb54e6 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbada0a2408190b77d163aee17400e |
completed | May 6, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaeeeb594819087b57da166495a72 |
completed | May 6, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:19 p.m.