Triple
T16323672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WBZZ |
E396359
|
entity |
| Predicate | hasBrandSlogan |
P6980
|
FINISHED |
| Object | Star 100.7 |
E1206866
|
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: Star 100.7 | Statement: [WBZZ, hasBrandSlogan, Star 100.7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Star 100.7 Context triple: [WBZZ, hasBrandSlogan, Star 100.7]
-
A.
100.7 Star
chosen
100.7 Star is a contemporary radio brand identity used by station WBZZ to market its music and programming.
-
B.
Gold 104.3
Gold 104.3 is a Melbourne-based commercial radio station known for its classic hits format and popular breakfast shows.
-
C.
Kiss FM
Kiss FM is a popular radio station brand known for broadcasting contemporary hit music and dance tracks, often featuring prominent DJs and club culture programming.
-
D.
92.3 K-Rock
92.3 K-Rock was a well-known New York City rock radio brand associated with station WXRK, famous for its alternative and hard rock format and high-profile personalities.
-
E.
iHeartMedia
iHeartMedia is a major American mass media and entertainment company best known for its extensive portfolio of radio stations, digital audio platforms, and live events.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b82fe88190a448597b7827f859 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002da6e6e08190a20cc51699e12dbc |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.