Triple
T11483579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC Radio 1Xtra |
E272216
|
entity |
| Predicate | genrePositioning |
P21380
|
FINISHED |
| Object | urban contemporary |
—
|
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: urban contemporary | Statement: [BBC Radio 1Xtra, genrePositioning, urban contemporary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genrePositioning Context triple: [BBC Radio 1Xtra, genrePositioning, urban contemporary]
-
A.
genreSpecialty
chosen
Indicates that an entity specializes in or is particularly associated with a specific genre.
-
B.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
-
C.
genreAsModel
Indicates that one entity serves as a genre-based template or stylistic model for another entity.
-
D.
genre
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
-
E.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1ea00c8190b42cdc13a6bc61c3 |
completed | April 10, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.