Triple
T13630179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnival in Saint Vincent and the Grenadines |
E325691
|
entity |
| Predicate | soundscape |
P105197
|
FINISHED |
| Object | roadside DJ trucks |
—
|
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: roadside DJ trucks | Statement: [Carnival in Saint Vincent and the Grenadines, soundscape, roadside DJ trucks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundscape Context triple: [Carnival in Saint Vincent and the Grenadines, soundscape, roadside DJ trucks]
-
A.
soundDesignBy
Indicates that the sound design for a work (such as a film, game, or performance) is created or supervised by a particular person or entity.
-
B.
soundDesignFor
Indicates that one entity is responsible for creating or shaping the audio or soundscape used in another entity (such as a work, scene, or production).
-
C.
soundCategory
Indicates the classification relationship where a sound is assigned to a particular category or type of sound.
-
D.
soundMotif
Indicates a recurring or thematically significant sound pattern associated with an entity, event, or context.
-
E.
airSoundProduction
chosen
Indicates a relationship where an entity produces or generates sound through the movement or vibration of air.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.