Triple
T5696583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orchestre de la Société des Concerts du Conservatoire |
E125553
|
entity |
| Predicate | primaryRepertoire |
P38497
|
FINISHED |
| Object | French music |
—
|
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: French music | Statement: [Orchestre de la Société des Concerts du Conservatoire, primaryRepertoire, French music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRepertoire Context triple: [Orchestre de la Société des Concerts du Conservatoire, primaryRepertoire, French music]
-
A.
centralRepertoireFor
chosen
Indicates that something serves as a primary or core collection of works, items, or elements for a particular entity or context.
-
B.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
C.
primaryMotif
Indicates that one entity serves as the main recurring theme or dominant motif associated with another entity.
-
D.
primaryRealm
Indicates that one entity is the main or principal realm, domain, or sphere of activity associated with another entity.
-
E.
primaryReferent
Indicates that one entity is the main or most salient referent associated with another entity among potentially multiple candidates.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.