Triple
T4893489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFA Mandarin Service |
E109617
|
entity |
| Predicate | broadcastFrequencyType |
P60451
|
FINISHED |
| Object | shortwave |
—
|
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: shortwave | Statement: [RFA Mandarin Service, broadcastFrequencyType, shortwave]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastFrequencyType Context triple: [RFA Mandarin Service, broadcastFrequencyType, shortwave]
-
A.
broadcastFrequency
Indicates the specific radio or transmission frequency at which a broadcast is sent or received.
-
B.
hasBroadcastFrequency
Indicates that an entity operates or transmits at a specified broadcast frequency.
-
C.
broadcastType
Indicates the specific mode or category of broadcasting used to transmit content (e.g., live, recorded, streaming, or other broadcast formats) between entities.
-
D.
broadcastDay
Indicates the specific day on which a program, event, or content is broadcast or scheduled to be broadcast.
-
E.
serviceFrequencyType
Indicates how often a service occurs or is scheduled within a given time period.
- F. None of above. chosen
Provenance (4 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:28 p.m.