Triple
T8472452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Original Amiga chipset |
E200310
|
entity |
| Predicate | soundResolution |
P68593
|
FINISHED |
| Object | 8-bit |
—
|
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: 8-bit | Statement: [Original Amiga chipset, soundResolution, 8-bit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundResolution Context triple: [Original Amiga chipset, soundResolution, 8-bit]
-
A.
samplingResolution
chosen
Indicates the level of detail or granularity at which data is sampled or measurements are taken in a process or system.
-
B.
soundHardware
Indicates that an entity is associated with, uses, or provides sound-related hardware components or capabilities.
-
C.
audioSampleRateHz
Indicates the number of audio samples captured or played back per second, measured in hertz (Hz), for the associated audio data.
-
D.
soundReproductionMethod
Indicates the method or technique used to reproduce or play back sound.
-
E.
soundFrequencyRange
Indicates the range of sound frequencies within which the related entity operates, is effective, or is characterized.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f4fbf481909e4fd7c078b27477 |
completed | March 31, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69cbd104250c8190b4c499dcc9937494 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.