Triple
T11973363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 6230 |
E284974
|
entity |
| Predicate | supportsMP3 |
P100240
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nokia 6230, supportsMP3, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMP3 Context triple: [Nokia 6230, supportsMP3, true]
-
A.
supportsMusicPlayer
chosen
Indicates that one entity provides compatibility with or functionality for operating a music player associated with another entity.
-
B.
supportsPCM
Indicates that one entity is capable of handling, processing, or is compatible with PCM (Pulse-Code Modulation) audio data used by another entity.
-
C.
supportsPlayer
Indicates that one entity provides assistance, resources, or backing to a player in achieving their goals or performing actions.
-
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.
supportsArtist
Indicates that one entity provides assistance, resources, or advocacy that helps an artist pursue or sustain their work.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9039107e48190ae4c4efd6257dd3c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:46 p.m.