Triple
T8500787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodney Bingenheimer |
E201208
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object | KROQ-FM |
E594872
|
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: KROQ-FM | Statement: [Rodney Bingenheimer, station, KROQ-FM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KROQ-FM Context triple: [Rodney Bingenheimer, station, KROQ-FM]
-
A.
KROQ-FM
chosen
KROQ-FM is a Los Angeles-based radio station famous for its influential modern rock/alternative music programming and role in shaping contemporary rock culture.
-
B.
KJYO
KJYO is the ICAO airport code for Leesburg Executive Airport, a public general aviation airport serving Leesburg, Virginia, in the United States.
-
C.
KOKC
KOKC is the ICAO airport code for Will Rogers World Airport, the primary commercial airport serving Oklahoma City, Oklahoma.
-
D.
KAKR
KAKR is the ICAO airport code for Akron Fulton International Airport, a public airport serving Akron, Ohio, in the United States.
-
E.
KRDG
KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the United States.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5996ce88190956cb3f8d9ad3daf |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d1c2ce4819082c92484d3865edf |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:14 p.m.