Triple
T3871156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KDKA (AM) |
E92387
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object |
WBZZ
WBZZ is a Pittsburgh-area radio station best known for its contemporary hit music format and branding as "100.7 Star."
|
E396359
|
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: WBZZ | Statement: [KDKA (AM), sisterStation, WBZZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WBZZ Context triple: [KDKA (AM), sisterStation, WBZZ]
-
A.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
-
B.
WRBW
WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network programming.
-
C.
WLBZ
WLBZ is a television station serving the Bangor, Maine market as a primary network affiliate.
-
D.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
E.
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.
- 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: WBZZ Triple: [KDKA (AM), sisterStation, WBZZ]
Generated description
WBZZ is a Pittsburgh-area radio station best known for its contemporary hit music format and branding as "100.7 Star."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WBZZ Target entity description: WBZZ is a Pittsburgh-area radio station best known for its contemporary hit music format and branding as "100.7 Star."
-
A.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
-
B.
WRBW
WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network programming.
-
C.
WLBZ
WLBZ is a television station serving the Bangor, Maine market as a primary network affiliate.
-
D.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
E.
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.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec54b0848190a8d4a0e4df7b6227 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5124769c081909111b4bcac6baa78 |
completed | March 14, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69b5161242f881908e62d0b7cf8e44b9 |
completed | March 14, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5167379cc819088b4d20558622948 |
completed | March 14, 2026, 8:04 a.m. |
Created at: March 9, 2026, 3:20 p.m.