Triple
T1737237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WCBS-TV |
E37946
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object |
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."
|
E193329
|
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: WINS (AM) | Statement: [WCBS-TV, sisterStation, WINS (AM)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WINS (AM) Context triple: [WCBS-TV, sisterStation, WINS (AM)]
-
A.
WMBS (AM)
WMBS (AM) is a local radio station serving the Uniontown, Pennsylvania area with news, talk, and community-focused programming.
-
B.
WBZ (AM)
WBZ (AM) is a historic Boston-based AM radio station known for its news, talk, and sports programming and status as one of the oldest broadcast stations in the United States.
-
C.
WTN
WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
-
D.
KDKA (AM)
KDKA (AM) is a historic Pittsburgh radio station widely recognized as one of the first commercially licensed broadcast stations in the United States.
-
E.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional 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: WINS (AM) Triple: [WCBS-TV, sisterStation, WINS (AM)]
Generated description
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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WINS (AM) Target entity description: 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."
-
A.
WMBS (AM)
WMBS (AM) is a local radio station serving the Uniontown, Pennsylvania area with news, talk, and community-focused programming.
-
B.
WBZ (AM)
WBZ (AM) is a historic Boston-based AM radio station known for its news, talk, and sports programming and status as one of the oldest broadcast stations in the United States.
-
C.
WTN
WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
-
D.
KDKA (AM)
KDKA (AM) is a historic Pittsburgh radio station widely recognized as one of the first commercially licensed broadcast stations in the United States.
-
E.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63a47cd481909c211e4da7f5dfe9 |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b03303c8190a301dca327bf9f47 |
completed | March 8, 2026, 2:43 p.m. |
| NEDg | Description generation | batch_69ad957e9a6c81909d52bf2def797526 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97b6c03881909f278594e800c0f5 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.