Triple
T35982159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CJTR-FM |
E1040597
|
entity |
| Predicate | broadcastMode |
P6348
|
FINISHED |
| Object | analog |
—
|
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: analog | Statement: [CJTR-FM, broadcastMode, analog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastMode Context triple: [CJTR-FM, broadcastMode, analog]
-
A.
broadcastType
chosen
Indicates the specific mode or category of broadcasting used to transmit content (e.g., live, recorded, streaming, or other broadcast formats) between entities.
-
B.
broadcastPattern
Indicates that an entity disseminates information or content according to a specific, recurring method or structure of broadcasting.
-
C.
broadcastVia
Indicates that an action, message, or content is transmitted or disseminated through a specified medium, channel, or platform.
-
D.
broadcastModel
Indicates that one entity serves as the template or source whose structure or values are replicated and applied across another entity or set of entities.
-
E.
broadcastFrom
Indicates that some content, signal, or message is transmitted or emitted starting at a particular source location, device, or entity.
- 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:07 p.m.