Triple
T5253506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nintendo 3DS |
E118641
|
entity |
| Predicate | hasAudioOutput |
P48651
|
FINISHED |
| Object | stereo speakers |
—
|
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: stereo speakers | Statement: [Nintendo 3DS, hasAudioOutput, stereo speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAudioOutput Context triple: [Nintendo 3DS, hasAudioOutput, stereo speakers]
-
A.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
hasAudioFeature
chosen
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
-
C.
supportsAudioReturnChannel
Indicates that one entity is capable of handling an audio return channel from another entity, allowing audio to be sent back over the same connection.
-
D.
hasOutputImpedance
Indicates that an entity (such as a device or component) exhibits a specific impedance at its output terminals.
-
E.
supportsAudioQuality
Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ba1cca88190bebd516851b9bf7f |
completed | March 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.