Triple
T10362778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catalan choir |
E244176
|
entity |
| Predicate | hasTypicalInstrumentation |
P1149
|
FINISHED |
| Object | a cappella voices |
—
|
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: a cappella voices | Statement: [Catalan choir, hasTypicalInstrumentation, a cappella voices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalInstrumentation Context triple: [Catalan choir, hasTypicalInstrumentation, a cappella voices]
-
A.
hasTypeOfInstrumentation
Indicates that one entity uses, involves, or is characterized by a particular type of instrumentation.
-
B.
typicalInstrumentation
chosen
Indicates the usual or standard set of instruments commonly associated with performing or realizing something (such as a work, genre, or piece).
-
C.
supportsDynamicInstrumentation
Indicates that an entity is capable of being instrumented or monitored at runtime without requiring recompilation or restart.
-
D.
usesInstrument
Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
-
E.
usesSparseInstrumentation
Indicates that an entity performs monitoring or data collection with minimal or selectively placed instrumentation rather than comprehensive coverage.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e962f08c8190a7ac489dc524510d |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, noon