Triple
T22550685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Philharmonic Orchestra |
E557547
|
entity |
| Predicate | hasStudentOutreach |
P67233
|
FINISHED |
| Object | education programmes |
—
|
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: education programmes | Statement: [London Philharmonic Orchestra, hasStudentOutreach, education programmes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentOutreach Context triple: [London Philharmonic Orchestra, hasStudentOutreach, education programmes]
-
A.
hasOutreachComponent
chosen
Indicates that something includes or is associated with an outreach-related element, activity, or component.
-
B.
hasStudentInvolvement
Indicates that there is participation, engagement, or involvement of one or more students in the referenced activity, event, or entity.
-
C.
hasStudentOrganization
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
-
D.
hasNotableStudentCommunity
Indicates that an institution is characterized by a student body that is particularly active, prominent, or widely recognized for its engagement or impact.
-
E.
hasAlumniInvolvement
Indicates that an entity maintains an ongoing relationship or engagement with its former members or graduates.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7546c4819099942c86ca522a60 |
completed | April 29, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:52 p.m.