Triple
T3068835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NeXTcube |
E62169
|
entity |
| Predicate | soundHardware |
P44235
|
FINISHED |
| Object | CD-quality 16-bit stereo audio |
—
|
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: CD-quality 16-bit stereo audio | Statement: [NeXTcube, soundHardware, CD-quality 16-bit stereo audio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundHardware Context triple: [NeXTcube, soundHardware, CD-quality 16-bit stereo audio]
-
A.
audioChip
Indicates that one entity functions as, or contains, an audio processing chip in relation to another entity.
-
B.
soundChip
Indicates that one entity functions as or contains the sound-processing chip used by another entity.
-
C.
soundReproductionMethod
Indicates the method or technique used to reproduce or play back sound.
-
D.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
E.
soundCharacter
Indicates a relationship where one entity specifies the quality, style, or distinguishing characteristics of a sound produced or perceived in another entity.
- F. None of above. chosen
Provenance (4 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0ffcc208190962cc9edcbf43c31 |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f7630c81908e1ca8a69611cff6 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.