Triple
T26368711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schroeder reverberator concept |
E660412
|
entity |
| Predicate | implementationDomain |
P161701
|
FINISHED |
| Object | digital |
—
|
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 | Statement: [Schroeder reverberator concept, implementationDomain, digital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: implementationDomain Context triple: [Schroeder reverberator concept, implementationDomain, digital]
-
A.
executionDomain
Indicates the context, environment, or scope within which an action, process, or operation is carried out or valid.
-
B.
solutionDomain
Indicates the conceptual or practical area in which a particular problem is addressed or solved.
-
C.
implementationType
Indicates the specific manner or approach by which something is implemented or realized in practice.
-
D.
implementedUnder
Indicates that an action, policy, or process is carried out within the scope, authority, or framework defined by a particular higher-level plan, rule, or governing entity.
-
E.
implementationTarget
Indicates that one entity serves as the concrete implementation or realization of another entity’s specification, interface, or design.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6200ac60481909895c61d050b1338 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 26, 2026, 10:56 p.m.