Triple
T18590917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WOR Studios, New York City |
E454363
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | WOR (AM) |
—
|
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: WOR (AM) | Statement: [WOR Studios, New York City, associatedWith, WOR (AM)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WOR (AM) Context triple: [WOR Studios, New York City, associatedWith, WOR (AM)]
-
A.
WOR (AM)
chosen
WOR (AM) is a long-running New York City talk radio station known for its news, talk, and syndicated programming.
-
B.
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.
-
C.
WINS (AM)
WINS (AM) is a New York City all-news radio station known for its 24-hour news format and the slogan "You give us 22 minutes, we'll give you the world."
-
D.
WSM (AM)
WSM (AM) is a historic Nashville-based clear-channel radio station best known for broadcasting country music and serving as the long-time home of the Grand Ole Opry.
-
E.
WWHR-FM
WWHR-FM is the student-run campus radio station of Western Kentucky University, broadcasting a variety of music and programming to the university community and surrounding area.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b5bc688190bdfe3911ac6b2d76 |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.