Triple
T16416357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 1108 |
E398694
|
entity |
| Predicate | supportsRingtoneCustomization |
P105051
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Nokia 1108, supportsRingtoneCustomization, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRingtoneCustomization Context triple: [Nokia 1108, supportsRingtoneCustomization, yes]
-
A.
supportsRingtones
chosen
Indicates that one entity provides the capability for another entity to use or play ringtones.
-
B.
supportsTone
Indicates that one entity is compatible with, enables, or can correctly handle a specified tone or tonal characteristic of another entity.
-
C.
supportsPersonalization
Indicates that one entity enables or provides functionality for tailoring content, behavior, or experience to the preferences or characteristics of another entity.
-
D.
hasRingtoneComposer
Indicates that an entity has another entity as the creator or composer of its ringtone.
-
E.
supportsCustomWatchFaces
Indicates that an entity provides the capability to use or install custom-designed watch faces beyond the default options.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32877ff248190886717d3329421a7 |
completed | April 18, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.