Triple
T8267126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WFAN (AM) |
E193328
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object |
WFAN-FM
WFAN-FM is a New York City sports radio station known for broadcasting local and national sports talk, commentary, and live game coverage.
|
E193328
|
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: WFAN-FM | Statement: [WFAN (AM), sisterStation, WFAN-FM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WFAN-FM Context triple: [WFAN (AM), sisterStation, WFAN-FM]
-
A.
WFAN (AM)
WFAN (AM) is a New York City-based sports radio station widely recognized as one of the first and most influential all-sports talk stations in the United States.
-
B.
WEEI-FM
WEEI-FM is a Boston-based sports radio station best known as a flagship broadcaster for Boston Red Sox games and related sports talk programming.
-
C.
WEEI (AM)
WEEI (AM) is a Boston-based sports radio station known for its local and national sports talk programming and coverage of New England teams.
-
D.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
-
E.
WCBS-FM
WCBS-FM is a New York City radio station best known for its classic hits format and long-running presence on the FM dial.
- 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: WFAN-FM Triple: [WFAN (AM), sisterStation, WFAN-FM]
Generated description
WFAN-FM is a New York City sports radio station known for broadcasting local and national sports talk, commentary, and live game coverage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WFAN-FM Target entity description: WFAN-FM is a New York City sports radio station known for broadcasting local and national sports talk, commentary, and live game coverage.
-
A.
WFAN (AM)
chosen
WFAN (AM) is a New York City-based sports radio station widely recognized as one of the first and most influential all-sports talk stations in the United States.
-
B.
WEEI-FM
WEEI-FM is a Boston-based sports radio station best known as a flagship broadcaster for Boston Red Sox games and related sports talk programming.
-
C.
WEEI (AM)
WEEI (AM) is a Boston-based sports radio station known for its local and national sports talk programming and coverage of New England teams.
-
D.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
-
E.
WCBS-FM
WCBS-FM is a New York City radio station best known for its classic hits format and long-running presence on the FM dial.
- F. None of above.
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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794e6880819084dff5df42332835 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6c1451881909cfed1e27b57847c |
completed | April 2, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69cdcb8cbd3c8190b467ecbcf55231e9 |
completed | April 2, 2026, 1:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdccff097c819099a33612504468e1 |
completed | April 2, 2026, 1:57 a.m. |
Created at: March 30, 2026, 5:50 p.m.