Triple
T12643029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 3330 |
E301945
|
entity |
| Predicate | polyphonicRingtones |
P105051
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Nokia 3330, polyphonicRingtones, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: polyphonicRingtones Context triple: [Nokia 3330, polyphonicRingtones, no]
-
A.
supportsRingtones
chosen
Indicates that one entity provides the capability for another entity to use or play ringtones.
-
B.
polyphony
Indicates a relationship where multiple independent melodic or vocal lines occur simultaneously, creating a layered or harmonically interwoven texture.
-
C.
soundMotif
Indicates a recurring or thematically significant sound pattern associated with an entity, event, or context.
-
D.
soundCarrier
Indicates that one entity serves as a medium or object that carries, stores, or transmits sound for another entity.
-
E.
melodicPattern
Indicates a recurring sequence of musical tones or intervals that forms a recognizable melodic structure within a piece.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:17 p.m.