Triple
T8267089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WCBS (AM) |
E193327
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object |
WNEW-FM
WNEW-FM was a pioneering New York City FM radio station best known for its influential progressive rock and later classic rock format.
|
E722626
|
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: WNEW-FM | Statement: [WCBS (AM), sisterStation, WNEW-FM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WNEW-FM Context triple: [WCBS (AM), sisterStation, WNEW-FM]
-
A.
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.
-
B.
WJZ-FM
WJZ-FM is a Baltimore-based commercial radio station known for its sports and talk programming.
-
C.
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.
-
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.
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. 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: WNEW-FM Triple: [WCBS (AM), sisterStation, WNEW-FM]
Generated description
WNEW-FM was a pioneering New York City FM radio station best known for its influential progressive rock and later classic rock format.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WNEW-FM Target entity description: WNEW-FM was a pioneering New York City FM radio station best known for its influential progressive rock and later classic rock format.
-
A.
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.
-
B.
WJZ-FM
WJZ-FM is a Baltimore-based commercial radio station known for its sports and talk programming.
-
C.
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.
-
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.
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. 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_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_69cd6827e44c81909be6e426ab9226c7 |
completed | April 1, 2026, 6:47 p.m. |
| NEDg | Description generation | batch_69cd6d4fa17481909f28ad7eb9bceb42 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7df568788190a5a219baa65a6a19 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:50 p.m.