Triple
T3973468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Group W |
E92385
|
entity |
| Predicate | ownedStation |
P53258
|
FINISHED |
| Object | WINS-FM |
E193329
|
NE FINISHED |
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: WINS-FM | Statement: [Group W, ownedStation, WINS-FM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WINS-FM Context triple: [Group W, ownedStation, WINS-FM]
-
A.
WINS (AM)
chosen
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."
-
B.
WTDY-FM
WTDY-FM is a commercial radio station in the Philadelphia market, known for its contemporary music programming and affiliation with major local broadcaster Audacy, Inc.
-
C.
WQHT
WQHT is a New York City-based hip hop radio station, widely known by its brand name Hot 97.
-
D.
WDSY-FM
WDSY-FM is a Pittsburgh-based country music radio station that serves as a major FM outlet in the region.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0197a0a0819085d746f51c7fc51b |
completed | March 9, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c443e208190a8bf83ec642a142e |
completed | March 14, 2026, 11:53 a.m. |
Created at: March 9, 2026, 3:32 p.m.