Triple
T6007972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State University of Applied Sciences in Nowy Sącz |
E133759
|
entity |
| Predicate | tailorsProgramsTo |
P61437
|
FINISHED |
| Object | regional labor market |
—
|
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: regional labor market | Statement: [State University of Applied Sciences in Nowy Sącz, tailorsProgramsTo, regional labor market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tailorsProgramsTo Context triple: [State University of Applied Sciences in Nowy Sącz, tailorsProgramsTo, regional labor market]
-
A.
tailorsProgrammingFor
chosen
Indicates that one entity customizes or adapts programming content, structure, or delivery specifically to suit the needs or characteristics of another entity.
-
B.
tailorsCreditsFor
Indicates that one party customizes or adjusts credits to suit the needs, characteristics, or context of another party.
-
C.
agencyProgramme
Indicates that an agency is responsible for, manages, or is associated with a particular programme.
-
D.
madeProgram
Indicates that one entity created, developed, or authored a program (such as software or a coded application).
-
E.
relatesToProgram
Indicates that one entity has a relevant connection, association, or involvement with a particular program.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f154ca481909431baf4feecc16d |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e4daf4819099bf870dc700e0a2 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.