Triple
T25972540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radio Luxembourg |
E645843
|
entity |
| Predicate | broadcastRegime |
P160309
|
FINISHED |
| Object | commercial |
—
|
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: commercial | Statement: [Radio Luxembourg, broadcastRegime, commercial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastRegime Context triple: [Radio Luxembourg, broadcastRegime, commercial]
-
A.
broadcastRegion
Indicates the geographic area or market in which content is transmitted or made available for broadcast.
-
B.
broadcastType
Indicates the specific mode or category of broadcasting used to transmit content (e.g., live, recorded, streaming, or other broadcast formats) between entities.
-
C.
broadcastSector
Indicates that an entity is associated with, operates in, or targets a particular broadcast sector or segment of the broadcasting domain.
-
D.
broadcastFacilities
Indicates that one entity provides or is equipped with the means to transmit or distribute broadcasts (such as radio, television, or digital signals) to an audience.
-
E.
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.
- 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605055e68819098ab1a9d803ce6a3 |
completed | May 2, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 22, 2026, 8:51 a.m.