Triple
T28564287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sports Radio 101.9 FM and 66 AM |
E722630
|
entity |
| Predicate | frequencyAM |
P1685
|
FINISHED |
| Object | 660 AM |
—
|
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: 660 AM | Statement: [Sports Radio 101.9 FM and 66 AM, frequencyAM, 660 AM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyAM Context triple: [Sports Radio 101.9 FM and 66 AM, frequencyAM, 660 AM]
-
A.
frequency
Indicates how often an event, action, or relationship occurs within a given period or context.
-
B.
frequencyGivenBy
Indicates that the frequency of something is specified, determined, or provided by a particular source or entity.
-
C.
frequencyBand
chosen
Indicates the specific range of frequencies within which a signal, measurement, or phenomenon is defined or operates.
-
D.
frequencyRegion
Indicates that something is associated with, occurs within, or is characterized by a particular range or band of frequencies.
-
E.
frequencyClass
Indicates how often an event, action, or relation occurs, typically by assigning it to a predefined frequency category or class.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 4:06 a.m.