Triple
T13777452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roland TR-08 |
E331045
|
entity |
| Predicate | hasSoundEngineType |
P110912
|
FINISHED |
| Object | digital modeling |
—
|
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 modeling | Statement: [Roland TR-08, hasSoundEngineType, digital modeling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSoundEngineType Context triple: [Roland TR-08, hasSoundEngineType, digital modeling]
-
A.
hasSoundSystem
Indicates that an entity is equipped with or includes a sound system as one of its features.
-
B.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
C.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
-
D.
testedEngineType
Indicates that an engine of a specified type has been subjected to a test or evaluation.
-
E.
soundEngine
Indicates that one entity functions as or provides the sound engine (audio processing or synthesis system) used by 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59db0148190bcaf9646403ca64f |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 10:10 p.m.