Triple
T13294088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 3250 |
E316633
|
entity |
| Predicate | supportsWMA |
P85613
|
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 3250, supportsWMA, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsWMA Context triple: [Nokia 3250, supportsWMA, yes]
-
A.
supportsPCM
Indicates that one entity is capable of handling, processing, or is compatible with PCM (Pulse-Code Modulation) audio data used by another entity.
-
B.
audioFormatSupported
chosen
Indicates that a particular audio format is recognized and can be correctly processed or played by a given system or component.
-
C.
supportsMusicPlayer
Indicates that one entity provides compatibility with or functionality for operating a music player associated with another entity.
-
D.
supportsDownmixing
Indicates that one entity can convert or mix multi-channel audio into a format with fewer channels (e.g., surround sound to stereo).
-
E.
supportsPhysicalMedia
Indicates that one entity provides the capability to use, read, or handle physical media formats (such as discs, tapes, or printed materials) associated with another entity.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:28 p.m.