Triple
T27345072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy of Music in Kraków |
E684207
|
entity |
| Predicate | operatesEducationalProgram |
P2489
|
FINISHED |
| Object | orchestral studies |
—
|
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: orchestral studies | Statement: [Academy of Music in Kraków, operatesEducationalProgram, orchestral studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesEducationalProgram Context triple: [Academy of Music in Kraków, operatesEducationalProgram, orchestral studies]
-
A.
hasEducationalProgram
chosen
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
B.
operatesInEducationalSector
Indicates that an entity conducts its primary activities or provides services within the field of education or the educational industry.
-
C.
operatesSchools
Indicates that an entity manages and runs the day-to-day operations of one or more schools.
-
D.
administersProgramFor
Indicates that one entity manages or oversees the operation of a specific program on behalf of another entity.
-
E.
operatesSchoolsFor
Indicates that one entity manages and runs schools on behalf of or for the benefit of another entity.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
Created at: April 27, 2026, 11:45 a.m.