Triple
T11640000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukta Tromsø Open Air Festival |
E276633
|
entity |
| Predicate | hasMusicFocus |
P20265
|
FINISHED |
| Object | Norwegian artists |
—
|
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: Norwegian artists | Statement: [Bukta Tromsø Open Air Festival, hasMusicFocus, Norwegian artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicFocus Context triple: [Bukta Tromsø Open Air Festival, hasMusicFocus, Norwegian artists]
-
A.
hasMusicCharacteristic
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
B.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
C.
musicFocus
chosen
Indicates that the primary attention or emphasis is directed toward music or musical aspects.
-
D.
hasMelodyInstrument
Indicates that something uses or features a particular instrument to carry the main melody.
-
E.
hasMusicalSettingsBy
Indicates that a work has been set to music or musically arranged by a specified creator or composer.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25e90c08190b7fb73939a2be3d7 |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.