Triple
T27967183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orgelbewegung |
E704756
|
entity |
| Predicate | hasAestheticOrientation |
P163577
|
FINISHED |
| Object | baroque aesthetics |
—
|
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: baroque aesthetics | Statement: [Orgelbewegung, hasAestheticOrientation, baroque aesthetics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAestheticOrientation Context triple: [Orgelbewegung, hasAestheticOrientation, baroque aesthetics]
-
A.
hasOrientation
Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
-
B.
hasOrientationInUse
Indicates that an entity, when in use or operation, is oriented in a specific direction or spatial alignment.
-
C.
performanceOrientation
Indicates a relationship where an entity is characterized by a focus on achieving high performance, results, or measurable outcomes in its activities or behavior.
-
D.
sessionOrientation
Indicates the directional or spatial alignment relationship established between entities within a session or interaction context.
-
E.
hasRegionalOrientation
Indicates that an entity is oriented toward, focused on, or primarily associated with a specific geographic region.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b323ea48190917e104d4d5fb1bf |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 7:35 p.m.