Triple
T22118561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KSDB-FM |
E546601
|
entity |
| Predicate | nonCommercialStatus |
P24924
|
FINISHED |
| Object | non-commercial educational station |
—
|
LITERAL 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: non-commercial educational station | Statement: [KSDB-FM, nonCommercialStatus, non-commercial educational station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonCommercialStatus Context triple: [KSDB-FM, nonCommercialStatus, non-commercial educational station]
-
A.
isNonCommercial
chosen
Indicates that the associated entity, use, or activity is not intended for or involved in commercial, profit-generating purposes.
-
B.
permitsCommercialUse
Indicates that an entity grants permission for its use in commercial or profit-generating contexts.
-
C.
nonExclusive
Indicates that the relationship or access is shared among multiple parties and is not limited to a single, exclusive holder.
-
D.
commercialStatus
Indicates the current state or condition of something in terms of its commercial availability, activity, or market use.
-
E.
notForProfit
Indicates that the entity operates without the primary goal of generating profit, typically reinvesting any surplus into its mission or activities rather than distributing it to owners or shareholders.
- F. None of above.
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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294fcf2c81909b610e03a0f1921f |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:31 p.m.