Triple
T33654582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under the Radar Festival |
E862187
|
entity |
| Predicate | targetRegionForArtists |
P122472
|
FINISHED |
| Object | global |
—
|
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: global | Statement: [Under the Radar Festival, targetRegionForArtists, global]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetRegionForArtists Context triple: [Under the Radar Festival, targetRegionForArtists, global]
-
A.
regionOfArtists
chosen
Indicates the geographic area or region associated with the artists.
-
B.
notableArtistFromRegion
Indicates that an artist is recognized as notable and originates from, or is strongly associated with, a particular geographic region.
-
C.
subjectLocationRelationToArtist
Indicates the spatial or locational relationship between a subject and an artist (e.g., where the subject is positioned relative to the artist).
-
D.
featuresArtistFromRegion
Indicates that something includes or highlights an artist whose origin or affiliation is with a specified geographic region.
-
E.
featuredArtistNationality
Indicates the nationality associated with an artist who is prominently featured in a work or event.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe87b609888190913b0c3f787ecdba |
completed | May 9, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69fe8731af48819092084f6f74bf052d |
completed | May 9, 2026, 1 a.m. |
Created at: May 1, 2026, 1:42 a.m.