Triple
T30517884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamaha YM2149F |
E776613
|
entity |
| Predicate | hasDACType |
P82798
|
FINISHED |
| Object | digital to analog converter |
—
|
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: digital to analog converter | Statement: [Yamaha YM2149F, hasDACType, digital to analog converter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDACType Context triple: [Yamaha YM2149F, hasDACType, digital to analog converter]
-
A.
hasDAC
chosen
Indicates that an entity includes, uses, or is equipped with a Digital-to-Analog Converter (DAC) component.
-
B.
hasMICType
Indicates that an entity is associated with a specific Market Identifier Code (MIC) classification type.
-
C.
hasCapType
Indicates that an entity possesses or is characterized by a specific type of cap or cap-like feature.
-
D.
hasInternalDACResolution
Indicates that an entity is associated with a specific internal digital-to-analog converter (DAC) resolution setting or value.
-
E.
hasDockType
Indicates the specific type or category of dock associated with an 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 8:16 p.m.